Analysing Symbolic Regression Benchmarks under a Meta-Learning Approach

The definition of a concise and effective testbed for Genetic Programming (GP) is a recurrent matter in the research community. This paper takes a new step in this direction, proposing a different approach to measure the quality of the symbolic regression benchmarks quantitatively. The proposed approach is based on meta-learning and uses a set of dataset meta-features---such as the number of examples or output skewness---to describe the datasets. Our idea is to correlate these meta-features with the errors obtained by a GP method. These meta-features define a space of benchmarks that should, ideally, have datasets (points) covering different regions of the space. An initial analysis of 63 datasets showed that current benchmarks are concentrated in a small region of this benchmark space. We also found out that number of instances and output skewness are the most relevant meta-features to GP output error. Both conclusions can help define which datasets should compose an effective testbed for symbolic regression methods.Comment: 8 pages, 3 Figures, Proceedings of Genetic and Evolutionary Computation Conference Companion, Kyoto, Japa

Multisource and temporal variability in Portuguese hospital administrative datasets: Data quality implications

[EN] Background: Unexpected variability across healthcare datasets may indicate data quality issues and thereby affect the credibility of these data for reutilization. No gold-standard reference dataset or methods for variability assessment are usually available for these datasets. In this study, we aim to describe the process of discovering data quality implications by applying a set of methods for assessing variability between sources and over time in a large hospital database. Methods: We described and applied a set of multisource and temporal variability assessment methods in a large Portuguese hospitalization database, in which variation in condition-specific hospitalization ratios derived from clinically coded data were assessed between hospitals (sources) and over time. We identified condition-specific admissions using the Clinical Classification Software (CCS), developed by the Agency of Health Care Research and Quality. A Statistical Process Control (SPC) approach based on funnel plots of condition-specific standardized hospitalization ratios (SHR) was used to assess multisource variability, whereas temporal heat maps and Information-Geometric Temporal (IGT) plots were used to assess temporal variability by displaying temporal abrupt changes in data distributions. Results were presented for the 15 most common inpatient conditions (CCS) in Portugal. Main findings: Funnel plot assessment allowed the detection of several outlying hospitals whose SHRs were much lower or higher than expected. Adjusting SHR for hospital characteristics, beyond age and sex, considerably affected the degree of multisource variability for most diseases. Overall, probability distributions changed over time for most diseases, although heterogeneously. Abrupt temporal changes in data distributions for acute myocardial infarction and congestive heart failure coincided with the periods comprising the transition to the International Classification of Diseases, 10th revision, Clinical Modification, whereas changes in the DiagnosisRelated Groups software seem to have driven changes in data distributions for both acute myocardial infarction and liveborn admissions. The analysis of heat maps also allowed the detection of several discontinuities at hospital level over time, in some cases also coinciding with the aforementioned factors. Conclusions: This paper described the successful application of a set of reproducible, generalizable and systematic methods for variability assessment, including visualization tools that can be useful for detecting abnormal patterns in healthcare data, also addressing some limitations of common approaches. The presented method for multisource variability assessment is based on SPC, which is an advantage considering the lack of gold standard for such process. Properly controlling for hospital characteristics and differences in case-mix for estimating SHR is critical for isolating data quality-related variability among data sources. The use of IGT plots provides an advantage over common methods for temporal variability assessment due its suitability for multitype and multimodal data, which are common characteristics of healthcare data. The novelty of this work is the use of a set of methods to discover new data quality insights in healthcare data.The authors would like to thank the Central Authority for Health Services, I.P. (ACSS) for providing access to the data. The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was financed by FEDER-Fundo Europeu de Desenvolvimento Regional funds through the COMPETE 2020-Operacional Programme for Competitiveness and Internationalisation (POCI) and by Portuguese funds through FCT- Fundacao para a Ciencia e a Tecnologia in the framework of the project POCI-01-0145-FEDER-030766 ("1st.IndiQare-Quality indicators in primary health care: validation and implementation of quality indicators as an assessment and comparison tool") . In addition, we would like to thank to projects GEMA (SBPLY/17/180501/000293) -Generation and Evaluation of Models for Data Quality, and ADAGIO (SBPLY/21/180501/000061) - Alarcos Data Governance framework and systems generation, both funded by the Department of Education, Culture and Sports of the JCCM and FEDER; and to AETHER-UCLM: A smart data holistic approach for context -aware data analytics focused on Quality and Security project (Ministerio de Ciencia e Innovacion, PID2020- 112540RB-C42) . CSS thanks the Universitat Politecnica de Valencia contract no. UPV-SUB.2-1302 and FONDO SUPERA COVID-19 by CRUE- Santander Bank grant "Severity Subgroup Discovery and Classification on COVID-19 Real World Data through Machine Learning and Data Quality assessment (SUBCOVERWD-19) ."Souza, J.; Caballero, I.; Vasco Santos, J.; Lobo, M.; Pinto, A.; Viana, J.; Sáez Silvestre, C.... (2022). Multisource and temporal variability in Portuguese hospital administrative datasets: Data quality implications. Journal of Biomedical Informatics. 136:1-11. https://doi.org/10.1016/j.jbi.2022.10424211113

Optimal rendezvous trajectory for unmanned aerial-ground vehicles

Fixed-wing unmanned aerial vehicles (UAVs) can be an essential tool for low cost aerial surveillance and mapping applications in remote regions. There is however a key limitation, which is the fact that low cost UAVs have limited fuel capacity and hence require periodic refueling to accomplish a mission. Moreover, the usual mechanism of commanding the UAV to return to a stationary base station for refueling can result in fuel wastage and inefficient mission operation time. Alternatively, one strategy could be the use of an unmanned ground vehicle (UGV) as a mobile refueling unit, where the UAV will rendezvous with the UGV for refueling. In order to accurately perform this task in the presence of wind disturbances, we need to determine an optimal trajectory in 3D taking UAV and UGV dynamics and kinematics into account. In this paper, we propose an optimal control formulation to generate a tunable UAV trajectory for rendezvous on a moving UGV that also addresses the possibility of the presence of wind disturbances. By a suitable choice of the value of an aggressiveness index that we introduce in our problem setting, we are able to control the UAV rendezvous behavior. Several numerical results are presented to illustrate the reliability and effectiveness of our approach

Comportamento do mercado da castanha-do-Brasil com casca produzida no Brasil de 2000 a 2010

O objetivo do trabalho foi analisar o comportamento do mercado da castanha-do-Brasil com casca produzida pelo Brasil no período de 2000 a 2010. Para isso, identificaram-se quebras estruturais nas séries de dados utilizadas; investigou-se a existência de correlações entre as variáveis preço, quantidade e valor; e descreveram-se os deslocamentos das curvas de oferta e demanda da castanha-do-Brasil com casca produzida pelo país nesse período. O modelo de tendência foi utilizado para identificar a direção dos deslocamentos das curvas, por meio do cálculo das taxas de crescimento do preço pago ao coletor e da quantidade produzida. Para o período integral (2000-2010) houve deslocamento positivo da curva de demanda. Porém ao se analisar separadamente os subperíodos identificados pelo teste de Chow (2000-2005 e 2006-2010), verificou-se um deslocamento negativo da oferta no primeiro subperíodo e um deslocamento positivo da oferta no segundo subperíodo. Os resultados mostraram que o mercado de castanha-do-Brasil está crescendo e que as políticas de incentivo do governo à atividade foram efetivas.This paper aimed to analyze the market behavior of in shell Brazil nuts produced by Brazil during the period of 2000 to 2010. In order to do it, structural brakes in the data were identified, the existence of correlations between the variables price, quantity and value was investigated; and the shift of the supply and demand curves was described for the nuts production. The trend model was used to identify the direction of the shift, by calculating the growth rates of national prices and of produced quantities. When analyzing the whole period (2000-2010), there was a positive shift of the demand curve, but when separately analyzing the two sub periods defined by the Chow test (2000-2005 and 2006-2010), a negative shift of the supply curve was identified on the first sub period, while the second subperiod revealed a positive shift of the supply curve. The results showed that the market of Brazil nuts is ascending and that the government’s incentive policies to the activity were effective

eHealth Eurocampus Project: preparing innovative ICT professionals

The eHealth Eurocampus project, an EU-funded project, aims at preparing innovative professionals able to cope with the challenge of fostering a spirit of innovation in eHealth in Europe as the way forward to ensure better health and better and safer care. The main objectives of the eHealth Eurocampus are improving the relevance and quality of higher education in the field of ICT applications for health, and fostering employability through curricula adaptation to labour market needs and the development of entrepreneurship skills. In the frame of this project we are developing course materials, and implementing new and innovative teaching methods that are tested through joint learning activities (summer schools), which will be used later on in different master courses. The project includes the organization of training seminars to exchange good practices and knowledge among teachers and researchers. The eHealth Eurocampus consortium includes 8 higher education institutions, a regional centre of technological development and entrepreneurship promotion, and a European Grouping of Territorial Cooperation. The partnership represents different European health management systems, from 5 European countries.Postprint (author's final draft

EFFECTIVENESS ANALYSIS OF WATERFALL AND AGILE PROJECT MANAGEMENT METHODOLOGIES – A CASE STUDY FROM MACAU'S CONSTRUCTION INDUSTRY

The adoption of project management techniques is a crucial decision for corporate governance in construction companies since the management of areas such as risk, cost, and communications is essential for the success or failure of an endeavor. Nevertheless, different frameworks based on traditional or agile methodologies are available with several approaches, which may create several ways to manage projects. The primary purpose of this work is to investigate the adequate project management methodology for the construction industry from a general perspective and consider a case study from Macau. The methodology considered semi-structured interviews and a survey comparing international and local project managers from the construction industry. The interviews indicate that most construction project managers still follow empirical methods with no specific methodology but consider the adoption of traditional waterfall approaches. In contrast, according to the survey, most project managers and construction managers agree that the project's efficacy needs to increase, namely in planning, waste minimization, communication increase, and focus on the Client's feedback. In addition, there seems to be a clear indication that agile methodology could be implemented in several types of projects, including hospitality development projects. A hybrid development approach based on the Waterfall and Agile methodologies as a tool for the project management area may provide a more suitable methodology for project managers to follow

eHealth Eurocampus: An innovative educational framework to train qualified professionals in the emerging ehealth sector

The aim of this paper is to present the results of an initiative called the eHealth Eurocampus (http://ehealtheurocampus.eu), whose main goal is to define a framework to prepare professionals for the eHealth work environment. To do so, three main activities have been organized: develop eHealth learning materials, international intensive study programs for both health science and IT students and international training seminars for researches and professors. The eHealth Eurocampus project is an EU-funded Erasmus+ Strategic Partnership for higher education (September-2016 / August-2019) which aims at preparing qualified professionals able to cope with the challenge of “fostering a spirit of innovation in eHealth in Europe as the way forward to ensure better health and better and safer care for EU citizens, a more skilled workforce, more efficient and sustainable health and care systems, new business opportunities” (EC eHealth Action Plan 2012-2020). The consortium of the eHealth Eurocampus project along with the participants of the designed activities have created an original eHealth teaching-learning framework where university professors, students, researchers, and clinicians are able to share their experiences and knowledge with the aim of improving the skills of graduates in order to improve their employability. These are the organized activities and the topics that have been covered: - eHealth learning materials. Five courses of 6 ECTS each have been developed in the following topics: innovation and entrepreneurship, IT for a longer independent life, robotics for health care, graphics and medical imaging and eHealth applications and tools. - Intensive study programs. Three international summer schools for both health and IT students have been organized with an interdisciplinary approach. The first one deal with innovation and entrepreneurship in eHealth. The second one is focused on applications and tools for longer independent life. And robotics, graphics and medical imaging are covered in the third one. The summer schools have proven to be the best testbed for the learning materials and for innovative teaching methodologies in interdisciplinary context. - Training seminars. When you face the training of qualified eHealth professionals it is critical to have good educators. Two training seminars have been organized with the goal of share experiences and knowledge among practitioners, university teachers and researches of the health and IT fields. The topics covered in the seminars are eHealth Teaching Challenges and Accessibility, Inclusion, and Rehabilitation using IT, respectively. In this paper, we will introduce in detail the different activities carried out, the results and conclusions of this teaching-learning framework and how the different stakeholders would take advantage of it.Postprint (author's final draft

Neuromarketing and global branding reaction analysis based on real-time monitoring of multiple consumer's biosignals and emotions

Consumers' selections and decision-making processes are some of the most exciting and challenging topics in neuromarketing, sales, and branding. From a global perspective, multicultural influences and societal conditions are crucial to consider. Neuroscience applications in international marketing and consumer behavior is an emergent and multidisciplinary field aiming to understand consumers' thoughts, reactions, and selection processes in branding and sales. This study focuses on real-time monitoring of different physiological signals using eye-tracking, facial expressions recognition, and Galvanic Skin Response (GSR) acquisition methods to analyze consumers' responses, detect emotional arousal, measure attention or relaxation levels, analyze perception, consciousness, memory, learning, motivation, preference, and decision-making. This research aimed to monitor human subjects' reactions to these signals during an experiment designed in three phases consisting of different branding advertisements. The nonadvertisement exposition was also monitored while gathering survey responses at the end of each phase. A feature extraction module with a data analytics module was implemented to calculate statistical metrics and decision-making supporting tools based on Principal Component Analysis (PCA) and Feature Importance (FI) determination based on the Random Forest technique. The results indicate that when compared to image ads, video ads are more effective in attracting consumers' attention and creating more emotional arousal.https://doi.org/10.37227/JIBM-2023-04-5912Published versio