Estudo empírico de antecedentes do sucesso de sistemas de informação: análise de um sistema de apoio à decisão em uma universidade pública

Universities are institutions that generate and manipulate large amounts of data as a result of the multiple functions they perform, of the amount of involved professionals and students they attend. Information gathered from these data is used, for example, for operational activities and to support decision-making by managers. To assist managers in accomplishing their tasks, the Information Systems (IS) are presented as tools that offer features aiming to improve the performance of its users, assist with routine tasks and provide support to decision-making. The purpose of this research is to evaluate the influence of the users features and of the task in the success of IS. The study is of a descriptive-exploratory nature, therefore, the constructs used to define the conceptual model of the research are known and previously validated. However, individual features of users and of the task are IS success antecedents. In order to test the influence of these antecedents, it was developed a decision support IS that uses the Multicriteria Decision Aid Constructivist (MCDA-C) methodology with the participation and involvement of users. The sample consisted of managers and former managers of UTFPR Campus Pato Branco who work or have worked in teaching activities, research, extension and management. For data collection an experiment was conducted in the computer lab of the Campus Pato Branco in order to verify the hypotheses of the research. The experiment consisted of performing a distribution task of teaching positions between the academic departments using the IS developed. The task involved decision-making related to management activities. The data that fed the system used were real, from the Campus itself. A questionnaire was answered by the participants of the experiment in order to obtain data to verify the research hypotheses. The results obtained from the data analysis partially confirmed the influence of the individual features in IS success and fully confirmed the influence of task features. The data collected failed to support significant ratio between the individual features and the individual impact. For many of the participants the first contact with the IS was during the experiment, which indicates the lack of experience with the system. Regarding the success of IS, the data revealed that there is no significance in the relationship between Information Quality (IQ) and Individual Impact (II). It is noteworthy that the IS used in the experiment is to support decision-making and the information provided by this system are strictly quantitative, which may have caused some conflict in the analysis of the criteria involved in the decision-making process. This is because the criteria of teaching, research, extension and management are interconnected such that one reflects on another. Thus, the opinion of the managers does not depend exclusively on quantitative data, but also of knowledge and value judgment that each manager has about the problem to be solved.

Shuttle orbiter passenger compartment habitability requirements study for flight personnel accommodations.

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"Last-Mile" preparation for a potential disaster - Interdisciplinary approach towards tsunami early warning and an evacuation information system for the coastal city of Padang, Indonesia

Extreme natural events, like e.g. tsunamis or earthquakes, regularly lead to catastrophes with dramatic consequences. In recent years natural disasters caused hundreds of thousands of deaths, destruction of infrastructure, disruption of economic activity and loss of billions of dollars worth of property and thus revealed considerable deficits hindering their effective management: Needs for stakeholders, decision-makers as well as for persons concerned include systematic risk identification and evaluation, a way to assess countermeasures, awareness raising and decision support systems to be employed before, during and after crisis situations. The overall goal of this study focuses on interdisciplinary integration of various scientific disciplines to contribute to a tsunami early warning information system. In comparison to most studies our focus is on high-end geometric and thematic analysis to meet the requirements of smallscale, heterogeneous and complex coastal urban systems. Data, methods and results from engineering, remote sensing and social sciences are interlinked and provide comprehensive information for disaster risk assessment, management and reduction. In detail, we combine inundation modeling, urban morphology analysis, population assessment, socioeconomic analysis of the population and evacuation modeling. The interdisciplinary results eventually lead to recommendations for mitigation strategies in the fields of spatial planning or coping capacity. © Author(s) 2009.

Reasoning over knowledge-based generation of situations in context spaces to reduce food waste

With the ever-growing amount of connected sensors (IoT), making sense of sensed data becomes even more important. Pervasive computing is a key enabler for sustainable solutions, prominent examples are smart energy systems and decision support systems. A key feature of pervasive systems is situation awareness which allows a system to thoroughly understand its environment. It is based on external interpretation of data and thus relies on expert knowledge. Due to the distinct nature of situations in different domains and applications, the development of situation aware applications remains a complex process. This thesis is concerned with a general framework for situation awareness which simplifies the development of applications. It is based on the Situation Theory Ontology to provide a foundation for situation modelling which allows knowledge reuse. Concepts of the Situation Theory are mapped to the Context Space Theory which is used for situation reasoning. Situation Spaces in the Context Space are automatically generated with the defined knowledge. For the acquisition of sensor data, the IoT standards O-MI/O-DF are integrated into the framework. These allow a peer-to-peer data exchange between data publisher and the proposed framework and thus a platform independent subscription to sensed data. The framework is then applied for a use case to reduce food waste. The use case validates the applicability of the framework and furthermore serves as a showcase for a pervasive system contributing to the sustainability goals. Leading institutions, e.g. the United Nations, stress the need for a more resource efficient society and acknowledge the capability of ICT systems. The use case scenario is based on a smart neighbourhood in which the system recommends the most efficient use of food items through situation awareness to reduce food waste at consumption stage.

Na expressão de um sonho: Barreiras da carreira em universitários com incapacidade

Este estudo teve como objetivo analisar a perceção de barreiras ao desenvolvimento da carreira num grupo de estudantes Universitários portadores de incapacidade. Participaram 19 estudantes de 3 estabelecimentos de Ensino Superior, com idades compreendidas entre os 19 e os 45 anos. Responderam a uma entrevista semiestruturada que avaliava a perceção de barreiras e de sistemas de apoio ao seu desenvolvimento da carreira no passado, no presente e no futuro. Os resultados obtidos evidenciam dimensões de estabilidade e de mudança na perceção de barreiras: as persistentes nos três momentos avaliativos e as específicas a esses momentos. Também revelam que as pessoas significativas e as ajudas pedagógicas são os tipos de apoio ao desenvolvimento da carreira mais referidos. Os resultados são discutidos quanto às suas implicações para a prática e às perspetivas que abrem à investigação do desenvolvimento da carreira desta população. ABSTRACT: The aim of this study is to examine barriers perception to career development in a group of disabled university students. Nineteen students of three institutions of colleges participated, aged between nineteen and forty-five years. they responded to a semi-structured interview that appraised support systems and barriers perception to their career development in past, present and future. The results show barriers perception’s change and stability dimensions: the persistent in the three analise moments and those specific to these moments. lt also reveals that the most said career development's types of support are significant persons and pedagogical aids. The results are discussed regarding their implications for practice and prospects that open for research career development of this population.

Introducing a pilot data collection model for real-time evaluation of data redundancy

In order to reduce serious health incidents, individuals with high risks need to be identified as early as possible so that effective intervention and preventive care can be provided. This requires regular and efficient assessments of risk within communities that are the first point of contacts for individuals. Clinical Decision Support Systems CDSSs have been developed to help with the task of risk assessment, however such systems and their underpinning classification models are tailored towards those with clinical expertise. Communities where regular risk assessments are required lack such expertise. This paper presents the continuation of GRiST research team efforts to disseminate clinical expertise to communities. Based on our earlier published findings, this paper introduces the framework and skeleton for a data collection and risk classification model that evaluates data redundancy in real-time, detects the risk-informative data and guides the risk assessors towards collecting those data. By doing so, it enables non-experts within the communities to conduct reliable Mental Health risk triage.

Health Status, Living Arrangements, and Service Use at 100: Findings From the Oporto Centenarian Study

This paper describes the sociodemographic characteristics, health status, and service use of centenarians living in the community and centenarians residing in an elder care facility/nursing home and examines their main differences. Participants were 140 centenarians from the population-based Oporto Centenarian Study (Mage = 101.2; SD = 1.6). Main findings revealed that the majority of the centenarians lived at home with their family members (57.9%). Increased health care needs, living alone, and family caregiving constraints were the most common reasons for entering a nursing home. Community-dwelling centenarians were cared for mostly by their children and were less dependent and in better cognitive health than those who resided in a nursing home. Differences were found in the pattern of health service use according to the centenarians' residence, ability to pay medical expenses, and dependency level. Findings highlight the need for an accurate assessment of caregiving support systems, particularly family intergenerational duties, and of the factors constraining the access and use of health and social services. Policy makers may be guided by the insights gained from this research and work toward improvement of support options and removal of barriers to service access.

Prévoir la Réussite des Étudiants en Techniques d’inhalothérapie et d’anesthésie

Abstract: Respiratory therapists must be able to care for their patients safely, efficiently and competently. They manage critically ill patients on life support systems. As a member of the anesthesia team they are responsible for the vulnerable patient undergoing surgery. Within all areas of the hospital they are called upon to make decisions and judgements concerning patient treatment. The environment that is found in the modern clinical setting is often stressful and demanding. The respiratory and anesthesia technology program has the responsibility of preparing competent practioners who graduate not only with a broad knowledge base but with the affective competencies that are required to meet these challenges. Faculty and clinical instructors in the program of Respiratory and Anesthesia Technology have been troubled by rising attrition rates and weak performance of students. It is apparent that this is not a problem unique to Vanier College. The rationale for this study was multi-fold; to establish a definition of student success, to determine whether pre-admission academic abilities can predict success in the program and whether scores on a professional behavioural aptitudes tool can predict success in the clinical year of the program. Predictors were sought that could be used either in the pre-program admission policies or during the course of study in order to ensure success throughout the program and beyond. A qualitative analysis involving clinical instructors and faculty (n=5) was carried out to explore what success signified for a student in the respiratory and anesthesia program. While this process revealed that a student who obtained a grade above 77.5% was considered “successful”, the concept surrounding success was a much more complex issue. Affective as well as cognitive and psychomotor abilities complete the model of the successful student. Appropriate behaviour and certain character traits in a respiratory therapy student are considered to be significant elements leading to success. Assessment of students in their clinical year of the respiratory & anesthesia technology program currently include little measurement of abilities in the affective domain, and the resulting grade becomes primarily a measure of academic and procedural skills. A quantitative study of preadmission records and final program grades was obtained from a single cohort of respiratory and anesthesia technology students who began the program in 2005 and graduated in 2008 (n=16). Data was collected and a descriptive analysis (analysis of variance, Pearson correlation) was used to determine the relationship between preadmission grades and success. The lack of association between the high school grades and grades in the program ran contrary to some of the findings in the literature and it can be cautiously inferred that preadmission grades do not predict success in the program. To ascertain the predictive significance of evaluating professional behavioural skills and success in clinical internship, a behaviour assessment tool was used by clinical instructors and faculty to score each student during a rotation in their third year of the program which was clinical internship. The results of this analysis showed that a moderately strong association could be made between a high score on the behavior assessment tool and final clinical grades. Therefore this tool may be effective in predicting success in the clinical year of the program. Refining the admissions process to meet the challenge and responsibility of turning out graduates who are capable of meeting the needs of the profession is difficult but essential. The capacity to predict which students possess the affective competencies necessary to cope and succeed in their clinical year is conceivably more important than their academic abilities. Although these preliminary findings contribute, to some degree, to the literature that exists concerning methods of predicting success in a respiratory and anesthesia technology program, much data is still unknown. Further quantitative and qualitative research is required using a broader population base to substantiate the findings of this small study.||Résumé: Les inhalothérapeutes doivent être capables de prodiguer des soins à leurs patients d’une manière sécuritaire, efficace et compétente. Ils/elles peuvent être appelé(e)s à gérer les soins aux personnes gravement malades branchées à un respirateur artificiel. En tant que membres de l’équipe d’anesthésie, ils/elles sont responsables des patients qui subissent une chirurgie. Ils/elles sont sollicité(e)s par tous les secteurs de l’hôpital pour décider ou juger des traitements à apporter aux malades. L’environnement dans lequel ils/elles travaillent est souvent stressant et exigeant. Le programme de Techniques d’inhalothérapie et d’anesthésie vise à former des inhalothérapeutes compétent(e)s qui possèdent non seulement les connaissances propres à la discipline mais également les aptitudes affectives nécessaires pour faire face à ces défis. Les enseignant(e)s et instructeur(e)s cliniques en Techniques d’inhalothérapie et d’anesthésie sont préoccupé(e)s par le taux d’abandon croissant et la faible performance des étudiant(e)s dans le programme. Il semble que ce problème ne soit pas unique au Collège Vanier. Le but de cette recherche est multiple : définir ce qu’est «réussir» pour les étudiant(e)s de ce programme; déterminer si les aptitudes scolaires acquises avant l’admission au programme peuvent aider à prévoir le succès des étudiant(e)s dans le programme; et si les résultats obtenus à un test mesurant les aptitudes comportementales professionnelles permettent de prévoir le succès des étudiant(e)s dans le stage clinique du programme. On a essayé d’identifier des facteurs qui pourraient être utilisés dans les politiques d’admission au programme ou celles régissant le cheminement dans le programme qui permettraient d’assurer le succès au cours du programme et par la suite. Une analyse qualitative a été conduite auprès des instructeur(e)s cliniques et des enseignant(e)s (n=5) afin d’étudier la notion de « réussite » des étudiant(e)s dans le programme. Bien qu’un(e) étudiant(e) ayant obtenu une note supérieure à 77.5% soit considéré(e) comme ayant « réussi », la notion de « réussite » est beaucoup plus complexe. Des aptitudes affectives, autant que cognitives et psychomotrices complètent le modèle d’un(e) étudiant(e) ayant réussi. Un comportement approprié et certains traits de caractère sont considérés comme des facteurs importants pour la réussite d’un(e) étudiant(e) en techniques d’inhalothérapie et d’anesthésie. L’évaluation qui se fait actuellement des étudiant(e)s dans le stage clinique du programme ne porte que peu sur les aptitudes affectives, et le résultat obtenu témoigne essentiellement des aptitudes scolaires et procédurales. Une analyse quantitative des dossiers des étudiant(e)s avant leur admission au programme et leurs notes finales a été conduite auprès d’une cohorte d’étudiant(e)s ayant commencé le programme en 2005 et gradué en 2008 (n=16). Des données ont été recueillies et une analyse descriptive (analyse de la variance, corrélation de Pearson) ont été faites afin de déterminer l’existence d’un lien entre les notes obtenues au secondaire et celles obtenues dans le programme. L’absence de corrélation entre les deux catégories de notes va à l’encontre de certaines recherches publiées et on peut déduire avec réserve que les notes obtenues avant l’admission au programme ne permettent pas de prévoir la réussite dans le programme. Afin de vérifier la portée de l’évaluation du comportement professionnel et de la réussite en milieu clinique quant à la prévision de réussite dans le programme, une méthode d’évaluation du comportement a été appliquée par les instructeurs(e) cliniques et les enseignant(e)s pour évaluer chaque étudiant(e) au cours d’une rotation dans leur troisième année de stage clinique. Les résultats de cette analyse ont démontré qu’une corrélation moyennement forte pouvait être faite entre une bonne note à l’évaluation comportementale et les notes finales du stage clinique. Perfectionner le processus d’admission au programme afin d’assumer la responsabilité de former des diplômé(e)s capables de répondre aux besoins de la profession est difficile mais essentiel. Avoir les moyens de prévoir quels/quelles étudiant(e)s ont les compétences affectives nécessaires pour faire face à la réussite de leur année de stage clinique est peut être plus important que d’avoir les aptitudes scolaires. Bien que ces observations préliminaires contribuent, à un certain degré, à la littérature existante sur les méthodes de prévoir la réussite dans le programme d’inhalothérapie et d’anesthésie, plusieurs données restent inconnues. Une recherche quantitative et qualitative plus élaborée, conduite sur un échantillon plus large de la population, est nécessaire afin de corroborer les résultats de cette étude limitée.

Evaluación del desempeño pronóstico de dos puntajes de predicción de mortalidad a siete días en pacientes adultos oncológicos críticamente enfermos admitidos a una unidad de cuidados intensivos en Bogotá

Introducción Los sistemas de puntuación para predicción se han desarrollado para medir la severidad de la enfermedad y el pronóstico de los pacientes en la unidad de cuidados intensivos. Estas medidas son útiles para la toma de decisiones clínicas, la estandarización de la investigación, y la comparación de la calidad de la atención al paciente crítico. Materiales y métodos Estudio de tipo observacional analítico de cohorte en el que reviso las historias clínicas de 283 pacientes oncológicos admitidos a la unidad de cuidados intensivos (UCI) durante enero de 2014 a enero de 2016 y a quienes se les estimo la probabilidad de mortalidad con los puntajes pronósticos APACHE IV y MPM II, se realizó regresión logística con las variables predictoras con las que se derivaron cada uno de los modelos es sus estudios originales y se determinó la calibración, la discriminación y se calcularon los criterios de información Akaike AIC y Bayesiano BIC. Resultados En la evaluación de desempeño de los puntajes pronósticos APACHE IV mostro mayor capacidad de predicción (AUC = 0,95) en comparación con MPM II (AUC = 0,78), los dos modelos mostraron calibración adecuada con estadístico de Hosmer y Lemeshow para APACHE IV (p = 0,39) y para MPM II (p = 0,99). El ∆ BIC es de 2,9 que muestra evidencia positiva en contra de APACHE IV. Se reporta el estadístico AIC siendo menor para APACHE IV lo que indica que es el modelo con mejor ajuste a los datos. Conclusiones APACHE IV tiene un buen desempeño en la predicción de mortalidad de pacientes críticamente enfermos, incluyendo pacientes oncológicos. Por lo tanto se trata de una herramienta útil para el clínico en su labor diaria, al permitirle distinguir los pacientes con alta probabilidad de mortalidad.

Quality of Judgment Assessment

The intersection of Artificial Intelligence and The Law stands for a multifaceted matter, and its effects set the advances on culture, organization, as well as the social matters, when the emergent information technologies are taken into consideration. From this point of view, the weight of formal and informal Conflict Resolution settings should be highlighted, and the use of defective data, information or knowledge must be emphasized. Indeed, it is hard to do it with traditional problem solving methodologies. Therefore, in this work the focus is on the development of decision support systems, in terms of its knowledge representation and reasoning procedures, under a formal framework based on Logic Programming, complemented with an approach to computing centered on Artificial Neural Networks. It is intended to evaluate the Quality-of-Judgments and the respective Degree-of-Confidence that one has on such happenings.

Healthcare Computer Reasoning Addressing Chronically Ill Societies Using IoT: Deep Learning AI to the Rescue of Home-Based Healthcare

The authors present a proposal to develop intelligent assisted living environments for home based healthcare. These environments unite the chronical patient clinical history sematic representation with the ability of monitoring the living conditions and events recurring to a fully managed Semantic Web of Things (SWoT). Several levels of acquired knowledge and the case based reasoning that is possible by knowledge representation of the health-disease history and acquisition of the scientific evidence will deliver, through various voice based natural interfaces, the adequate support systems for disease auto management but prominently by activating the less differentiated caregiver for any specific need. With these capabilities at hand, home based healthcare providing becomes a viable possibility reducing the institutionalization needs. The resulting integrated healthcare framework will provide significant savings while improving the generality of health and satisfaction indicators.

A Case-base Approach to Workforces’ Satisfaction Assessment

It is well known that human resources play a valuable role in a sustainable organizational development. Indeed, this work will focus on the development of a decision support system to assess workers’ satisfaction based on factors related to human resources management practices. The framework is built on top of a Logic Programming approach to Knowledge Representation and Reasoning, complemented with a Case Based approach to computing. The proposed solution is unique in itself, once it caters for the explicit treatment of incomplete, unknown, or even self-contradictory information, either in terms of a qualitative or quantitative setting. Furthermore, clustering methods based on similarity analysis among cases were used to distinguish and aggregate collections of historical data or knowledge in order to reduce the search space, therefore enhancing the cases retrieval and the overall computational process.

An Artificial Intelligence Approach to Individuals' Age Assessment

A link between patterns of pelvic growth and human life history is supported by the finding that, cross-culturally, variation in maturation rates of female pelvis are correlated with variation in ages of menarche and first reproduction, i.e., it is well known that the human dimensions of the pelvic bones depend on the gender and vary with the age. Indeed, one feature in which humans appear to be unique is the prolonged growth of the pelvis after the age of sexual maturity. Both the total superoinferior length and mediolateral breadth of the pelvis continues to grow markedly after puberty, and do not reach adult proportions until the late teens years. This continuation of growth is accomplished by relatively late fusion of the separate centers of ossification that form the bones of the pelvis. Hence, in this work we will focus on the development of an intelligent decision support system to predict individual’s age based on a pelvis' dimensions criteria. Some basic image processing techniques were applied in order to extract the relevant features from pelvic X-rays, being the computational framework built on top of a Logic Programming approach to Knowledge Representation and Reasoning that caters for the handling of incomplete, unknown, or even self-contradictory information, complemented with a Case Base approach to computing.

Edge and Big Data technologies for Industry 4.0 to create an integrated pre-sale and after-sale environment

The fourth industrial revolution, also known as Industry 4.0, has rapidly gained traction in businesses across Europe and the world, becoming a central theme in small, medium, and large enterprises alike. This new paradigm shifts the focus from locally-based and barely automated firms to a globally interconnected industrial sector, stimulating economic growth and productivity, and supporting the upskilling and reskilling of employees. However, despite the maturity and scalability of information and cloud technologies, the support systems already present in the machine field are often outdated and lack the necessary security, access control, and advanced communication capabilities. This dissertation proposes architectures and technologies designed to bridge the gap between Operational and Information Technology, in a manner that is non-disruptive, efficient, and scalable. The proposal presents cloud-enabled data-gathering architectures that make use of the newest IT and networking technologies to achieve the desired quality of service and non-functional properties. By harnessing industrial and business data, processes can be optimized even before product sale, while the integrated environment enhances data exchange for post-sale support. The architectures have been tested and have shown encouraging performance results, providing a promising solution for companies looking to embrace Industry 4.0, enhance their operational capabilities, and prepare themselves for the upcoming fifth human-centric revolution.

Operators, organizational, direct support, and general support maintenance manual : water purification unit, 420 gallons per hour, electric driven, 115V, single phase, 60 hertz 1/20 to 1 1/4 hp (Litton Systems, Inc. model LPU 420-1), FSN 4610-012-5490.

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