Applications of artificial intelligence to condition-based maintenance

In this paper we discuss interesting developments of expert systems for machine diagnosis and condition-based maintenance. We review some elements of condition-based maintenance and its applications, expert systems for machine diagnosis, and an example of machine diagnosis. In the last section we note some problems to be resolved so that expert systems for machine diagnosis may gain wider acceptance in the future.

A Brazilian version of the "Children's Interview for Psychiatric Syndromes" (ChIPS)

OBJETIVE: The advance of research in child and adolescent psychiatry in Brazil heavily depends on the existence of instruments for the investigation of psychiatric syndromes adapted to Brazilian Portuguese. METHODS: This article describes a careful process of translation of the Children's Interview for Psychiatric Syndromes for the purpose of use in research in Brazil. The Children's Interview for Psychiatric Syndromes has a version for parents (P-ChIPs) and a version for children (ChIPS). In this article, the sections of P-ChIPS referring to attention-deficit hyperactivity disorder, oppositional-defiant disorder, conduct disorder, mania/hypomania, anorexia nervosa, bulimia nervosa and psychotic disorders were translated to Brazilian Portuguese. The sections of the ChIPS referring to substance use disorders, social anxiety disorder, specific phobias, obsessive-compulsive disorder, generalized anxiety disoder, separation anxiety disorder, post-traumatic disorders and depression/dysthimia were also adapted. Each section was translated by two independent translators and later discussed in a committee composed of experts in the field of Psychiatry and a professional of the field of linguistics. RESULT: A final version containing an interview for the main psychiatric syndromes was defined. CONCLUSION: The translated P-ChIPS is a helpful instrument in children and adolescent clinical evaluation.

The 15-minute family interview: a family health strategy tool

The 15-minute family interview is a condensed form of the Calgary Family Assessment and Intervention Models (CFAM and CFIM) that aims to contribute to the establishment of a therapeutic relationship between nurses and family and to implement interventions to promote health and suffering relief, even during brief interactions. This study investigated the experience of nurses from the Family Health Strategy (FHS) who used the 15-minute interview on postpartum home. The qualitative research was conducted in three stages: participants' training program, utilization of the 15-minute family interview by participants, and interviews with nurses. The data were collected through semi-structured interviews with eight nurses. The thematic analysis revealed two main themes: dealing with the challenge of a new practice and evaluating the assignment. This work shows that this tool can be used to deepen relationships between nurses and families in the Family Health Strategy.

Predicting chick body mass by artificial intelligence-based models

The objective of this work was to develop, validate, and compare 190 artificial intelligence-based models for predicting the body mass of chicks from 2 to 21 days of age subjected to different duration and intensities of thermal challenge. The experiment was conducted inside four climate-controlled wind tunnels using 210 chicks. A database containing 840 datasets (from 2 to 21-day-old chicks) - with the variables dry-bulb air temperature, duration of thermal stress (days), chick age (days), and the daily body mass of chicks - was used for network training, validation, and tests of models based on artificial neural networks (ANNs) and neuro-fuzzy networks (NFNs). The ANNs were most accurate in predicting the body mass of chicks from 2 to 21 days of age after they were subjected to the input variables, and they showed an R² of 0.9993 and a standard error of 4.62 g. The ANNs enable the simulation of different scenarios, which can assist in managerial decision-making, and they can be embedded in the heating control systems.

The reliability of the Brazilian version of the Composite International Diagnostic Interview (CIDI 2.1)

The objective of the present study was to determine the reliability of the Brazilian version of the Composite International Diagnostic Interview 2.1 (CIDI 2.1) in clinical psychiatry. The CIDI 2.1 was translated into Portuguese using WHO guidelines and reliability was studied using the inter-rater reliability method. The study sample consisted of 186 subjects from psychiatric hospitals and clinics, primary care centers and community services. The interviewers consisted of a group of 13 lay and three non-lay interviewers submitted to the CIDI training. The average interview time was 2 h and 30 min. General reliability ranged from kappa 0.50 to 1. For lifetime diagnoses the reliability ranged from kappa 0.77 (Bipolar Affective Disorder) to 1 (Substance-Related Disorder, Alcohol-Related Disorder, Eating Disorders). Previous year reliability ranged from kappa 0.66 (Obsessive-Compulsive Disorder) to 1 (Dissociative Disorders, Maniac Disorders, Eating Disorders). The poorest reliability rate was found for Mild Depressive Episode (kappa = 0.50) during the previous year. Training proved to be a fundamental factor for maintaining good reliability. Technical knowledge of the questionnaire compensated for the lack of psychiatric knowledge of the lay personnel. Inter-rater reliability was good to excellent for persons in psychiatric practice.