Transfer Learning in Wastewater Treatment Plant Control Design: From Conventional to Long Short-Term Memory-Based Controllers.

In the last decade, industrial environments have been experiencing a change in their control processes. It is more frequent that control strategies adopt Artificial Neural Networks (ANNs) to support control operations, or even as the main control structure. Thus, control structures can be directly obtained from input and output measurements without requiring a huge knowledge of the processes under control.

Industrial Control under Non-Ideal Measurements: Data-Based Signal Processing as an Alternative to Controller Retuning.

Industrial environments are characterised by the non-lineal and highly complex processes they perform. Different control strategies are considered to assure that these processes are correctly performed. Nevertheless, these strategies are sensible to noise-corrupted and delayed measurements.

Denoising Autoencoders and LSTM-Based Artificial Neural Networks Data Processing for Its Application to Internal Model Control in Industrial Environments-The Wastewater Treatment Plant Control Case.

The evolution of industry towards the Industry 4.0 paradigm has become a reality where different data-driven methods are adopted to support industrial processes. One of them corresponds to Artificial Neural Networks (ANNs), which are able to model highly complex and non-linear processes.

ANN-Based Soft Sensor to Predict Effluent Violations in Wastewater Treatment Plants.

Wastewater treatment plants (WWTPs) form an industry whose main goal is to reduce water's pollutant products, which are harmful to the environment at high concentrations. In addition, regulations are applied by administrations to limit pollutant concentrations in effluent. In this context, control strategies have been adopted by WWTPs to avoid violating these limits; however, some violations still occur.

Cognitive map to support the diagnosis of solitary bone tumors in pediatric patients.

Unlabelled: Abstract.

Objective: To present a cognitive map to support the radiological diagnosis of solitary bone tumors, as well as to facilitate the determination of the nature of the tumor (benign or malignant), in pediatric patients.

Materials And Methods: We selected 28 primary lesions in pediatric patients, and we identified the findings typically associated with each of the diagnoses.

Evaluation of Learning in Oncology of Undergraduate Nursing with the Use of Concept Mapping.

This study aims to identify whether the use of concept mapping (CM) strategy assists a student to extend and revise their expertise in oncology and analyze the abilities developed in a student in order to go through theoretical to practical knowledge. This study is descriptive and qualitative, with 20 undergraduate students of the Undergraduate Nursing Course of Paulista School of Nursing of Federal University of São Paulo, Brazil. The critical incident technique and content analysis were used.

Results of a randomized controlled trial to assess the effects of a mobile SMS-based intervention on treatment adherence in HIV/AIDS-infected Brazilian women and impressions and satisfaction with respect to incoming messages.

Objective: To assess whether a warning system based on mobile SMS messages increases the adherence of HIV-infected Brazilian women to antiretroviral drug-based treatment regimens and their impressions and satisfaction with respect to incoming messages.

Design: A randomized controlled trial was conducted from May 2009 to April 2010 with HIV-infected Brazilian women. All participants (n=21) had a monthly multidisciplinary attendance; each participant was followed over a 4-month period, when adherence measures were obtained.

A semi-automated method for bone age assessment using cervical vertebral maturation.

Objective: To propose a semi-automated method for pattern classification to predict individuals' stage of growth based on morphologic characteristics that are described in the modified cervical vertebral maturation (CVM) method of Baccetti et al.

Materials And Methods: A total of 188 lateral cephalograms were collected, digitized, evaluated manually, and grouped into cervical stages by two expert examiners. Landmarks were located on each image and measured.

Artificial intelligence techniques applied to the development of a decision-support system for diagnosing celiac disease.

Background: Celiac disease (CD) is a difficult-to-diagnose condition because of its multiple clinical presentations and symptoms shared with other diseases. Gold-standard diagnostic confirmation of suspected CD is achieved by biopsying the small intestine.

Objective: To develop a clinical decision-support system (CDSS) integrated with an automated classifier to recognize CD cases, by selecting from experimental models developed using intelligence artificial techniques.

Computerized analysis of snoring in sleep apnea syndrome.

Unlabelled: The International Classification of Sleep Disorders lists 90 disorders. Manifestations, such as snoring, are important signs in the diagnosis of the Obstructive Sleep Apnea Syndrome; they are also socially undesirable.

Objective: The aim of this paper was to present and evaluate a computerized tool that automatically identifies snoring and highlights the importance of establishing the duration of each snoring event in OSA patients.

[International outcomes from attempts to implement a clinical decision support system in gastroenterology].

Objective: This study aimed at describing the recent experience acquired with the implementation and use of clinical decision support system in gastroenterology in order to determine the level of development, tests used and advantages that such a system can offer to the medical practice.

Methods: A search in the PubMed, LILACS and ISI Web of Knowledge databases for studies in decision-making support systems in gastroenterology including original papers produced from 2005 to 2010 was performed. A total of 104 scientific papers were retrieved initially.

Use of Medical Subject Headings (MeSH) in Portuguese for categorizing web-based healthcare content.

Introduction: Internet users are increasingly using the worldwide web to search for information relating to their health. This situation makes it necessary to create specialized tools capable of supporting users in their searches.

Objective: To apply and compare strategies that were developed to investigate the use of the Portuguese version of Medical Subject Headings (MeSH) for constructing an automated classifier for Brazilian Portuguese-language web-based content within or outside of the field of healthcare, focusing on the lay public.

[BabyCare: decision support system for primary child care using personal digital assistant].

The purpose of this work was to develop a digital device - referred as BabyCare System - for the collection, storage, and decision support for healthcare professionals and other concerned people, in order to assist patients in primary child care in deprived communities. This system is based on handheld device technologies to be used locally in basic healthcare units in deprived communities, whether assisted or not by the Family Health Program/Strategy (PSF), as well as in ambulatory facilities and hospitals. Java was used as programming language.

The impact of short message service text messages sent as appointment reminders to patients' cell phones at outpatient clinics in São Paulo, Brazil.

Objective: Nonattendance for appointments remains a challenge to health care managers and providers. The objective of this article is to present the results of a study on the impact of appointment reminders sent as short message service text messages to patients' cell phones on nonattendance rates at outpatient clinics in São Paulo, Brazil.

Design: Data were collected on scheduled appointments in four medical clinics using Clinic Manager or Clinic Web systems that can send automated messages to patients.

A comparative study of teledermatoscopy and face-to-face examination of pigmented skin lesions.

We examined the agreement between diagnoses of pigmented skin lesions based on an in-person (face-to-face) dermatological examination and diagnoses based on the study of medical records and images transferred through the web (teledermatoscopy). Two experienced dermatologists examined and diagnosed 64 pigmented skin lesions, which had been surgically excised and undergone histopathology examination. Two years later, the same cases were studied and diagnosed once again by the same dermatologists via the web.

PDA for health professionals: can you deal with that?

Personal digital assistants (PDAs) are being increasingly used on the health field, however, there are not many papers guiding a PDA-software development process concerning its usability in health field. This paper presents our experience dealing with PDAs regarding some elements of usability. We have shown that if simple yet extremely important points are to be observed before and during the development process, usability on PDA software can be greatly improved.

IntegraEPI: a Grid-based epidemic surveillance system.

The proposal of new analytical techniques has guided innovative methodological developments in public health interventions. The goal of this work is show advances in the development of a large scale system for space-time visualization, monitoring, modeling and analysis of epidemic data using a Grid platform. The resulting virtual laboratory, dubbed IntegraEPI, is expected to provide better epidemic forecasting and to define better strategies to fight the spread of a disease, in which new population-level interventions could be evaluated and iteratively refined using computational simulations, with tangible benefits for real-world epidemic prevention and control efforts.

[Development of ophthalmologic software for handheld devices].

Introduction: The formulas for calculation of intraocular lenses have evolved since the first theoretical formulas by Fyodorov. Among the second generation formulas, the SRK-I formula has a simple calculation, taking into account a calculation that only involved anteroposterior length, IOL constant and average keratometry. With the evolution of those formulas, complexicity increased making the reconfiguration of parameters in special situations impracticable.