Organizational climate assessment using the paraconsistent decision method

The present study aims to show a model of organisational climate assessment through the integration of success codes and the Paraconsistent Decision Method. In this way, contributing to a previous scenario analysis that can return a more precise feedback of the organisational culture conditions of the organisation.(3ortugal

Human subcortical brain asymmetries in 15,847 people worldwide reveal effects of age and sex

The two hemispheres of the human brain differ functionally and structurally. Despite over a century of research, the extent to which brain asymmetry is influenced by sex, handedness, age, and genetic factors is still controversial. Here we present the largest ever analysis of subcortical brain asymmetries, in a harmonized multi-site study using meta-analysis methods. Volumetric asymmetry of seven subcortical structures was assessed in 15,847 MRI scans from 52 datasets worldwide. There were sex differences in the asymmetry of the globus pallidus and putamen. Heritability estimates, derived from 1170 subjects belonging to 71 extended pedigrees, revealed that additive genetic factors influenced the asymmetry of these two structures and that of the hippocampus and thalamus. Handedness had no detectable effect on subcortical asymmetries, even in this unprecedented sample size, but the asymmetry of the putamen varied with age. Genetic drivers of asymmetry in the hippocampus, thalamus and basal ganglia may affect variability in human cognition, including susceptibility to psychiatric disorders

Epidemiology of multimorbidity within the Brazilian adult general population:Evidence from the 2013 National Health Survey (PNS 2013)

Middle-income countries are facing a growing challenge of adequate health care provision for people with multimorbidity. The objectives of this study were to explore the distribution of multimorbidity and to identify patterns of multimorbidity in the Brazilian general adult population. Data from 60202 adults, aged ≥18 years that completed the individual questionnaire of the National Health Survey 2013 (Portuguese: "Pesquisa Nacional de Saúde"-"PNS") was used. We defined multimorbidity as the presence of two or more chronic conditions, including self-reported diagnoses and responses to the 9-item Patient Health Questionnaire for depression. Multivariate Poisson regression analyses were used to explore relationship between multimorbidity and demographic factors. Exploratory tetrachoric factor analysis was performed to identify multimorbidity patterns. 24.2% (95% CI 23.5-24.9) of the study population were multimorbid, with prevalence rate ratios being significantly higher in women, older people and those with lowest educational level. Multimorbidity occurred earlier in women than in men, with half of the women and men aged 55-59 years and 65-69 years, respectively, were multimorbid. The absolute number of people with multimorbidity was approximately 2.5-fold higher in people younger than 65 years than older counterparts (9920 vs 3945). Prevalence rate ratios of any mental health disorder significantly increased with the number of physical conditions. 46.7% of the persons were assigned to at least one of three identified patterns of multimorbidity, including: "cardio-metabolic", "musculoskeletal-mental" and "respiratory" disorders. Multimorbidity in Brazil is as common as in more affluent countries. Women in Brazil develop diseases at younger ages than men. Our findings can inform a national action plan to prevent multimorbidity, reduce its burden and align health-care services more closely with patients' needs

ERP Software Quality Using Paraconsistent Logic

Part 17: Knowledge Management in Production SystemsInternational audienceThis study shows the perception of users regarding the ERP software (Enterprise Resource Planning). We used ISO/IEC 9126-1 for the evaluation of quality questions. As a decision-making tool, we used the Paraconsistent Annotated Evidential Logic E, assisting software factories in which quality item to invest in ERP order to improve the production process and consequently their final product

Modeling Paraconsistent Knowledge in Distributed Systems

. This paper presents some ideas on using paraconsistent logics to represent and to reason about knowledge in distributed systems. Since one our main research areas is related to robotics and manufacturing systems, we focus our attention on logics and problems relevant to this area. We review the fundamental concepts defining paraconsistency and overcompleteness in non-classical logics and how these concepts can be helpful for problem-solving in distributed systems, and propose a paraconsistent multiepistemic knowledge to model such systems. We also present, as an illustration, a paraconsistent reformulation of the well-known "muddy children problem" which we believe is relevant to automated manufacturing and robotics, and how this reformulated problem can be solved using the proposed logic. 1 Introduction Distributed systems are becoming very prominent in Computer Science and Artificial Intelligence, as their scope of application has increased in factory automation, process control, ..

Paraconsistent Logics in Artificial Intelligence and Robotics

. This papers presents some ideas on using paraconsistent and overcomplete logics to represent and to reason about knowledge in Artificial Intelligence systems. Since one our main research areas is related to robotics and manufacturing systems, we focus our attention on those logics and problems relevant to this area. We review the fundamental concepts defining paraconsistency and overcompleteness in non-classical logics and how these concepts can be helpful for problem-solving in the five subareas of Artificial Intelligence proposed in [Ros85]: perception, planning, learning, communication, and reasoning. We also present, as an illustration, two examples of application of these logics, namely to (i) representation and combination of multiple-source evidence in uncertain reasoning, and (ii) knowledge representation for distributed systems. 1 Introduction This papers presents some ideas on using non-classical logics to represent and to reason about knowledge in Artificial Intelligence ..

Using Logic Concepts on Six Sigma

Part 1: Computational Intelligence in Production ManagementsInternational audienceDecision Making process is key to success. With this in mind, this paper discusses the implementation of Paraconsistent Logic to the Six Sigma concepts. It is known that the human factor can be risky, so it can benefit with the addition of some artificial intelligence such as Paraconsistent Logic. Applying the Paraconsistent Decision-Making Method can minimize the human factor risk, avoiding rework, as it eliminates any discrepancy among the opinions of the specialist involved on the decision making process

IT Incident Management and Analysis Using Non-classical Logics

Part 1: Computational Intelligence in Production ManagementsInternational audienceThe classification and the proper incident handling in an IT environment are strategic to remain competitive in corporations. Service Desk technicians with knowledge and expertise can often have conflicting beliefs in their analysis. This study aims to apply Paraconsistent Logic to treat contradictions directly in the classification of incidents in IT, helping managers to improve the quality of services they provide to users through the efficiency of the Service Desk in decision-making