Double power laws, fractals and self-similarity

Power law (PL) distributions have been largely reported in the modeling of distinct real phenomena and have been associated with fractal structures and self-similar systems. In this paper, we analyze real data that follows a PL and a double PL behavior and verify the relation between the PL coefficient and the capacity dimension of known fractals. It is to be proved a method that translates PLs coefficients into capacity dimension of fractals of any real data.

Characterization of middle-ear condition of Oporto daycare children up-to 3 years-old: A cross sectional study

Objective The aim of this study was to determine tympanometric values of children who attend Oporto daycare centers and further analyze any relations with host and environmental factors. Methods Cross sectional study in a randomly selected sample of 117 daycare children up-to 3-years old from Oporto. Tympanometric measures were collected. Results Children presented in left ear (LE) a mean peak pressure (PP) of −156.53 daPa and a mean compliance of 0.16 cm3. Right ear (RE) revealed a PP of −145.61 daPa and a compliance of 0.19 cm3. Normal tympanograms (type A) had a lower frequency than abnormal tympanograms (type B and type C). There was a positive association between age and compliance (LE: p = 0.016; RE: p = 0.013) and between the presence of rhinorrhea and PP (LE: p = 0.002; RE: p < 0.05). Abnormal tympanograms were more frequent in Spring (RE: p = 0.009), in younger children (LE: p = 0.03) and in children that had rhinorrhea (LE: p = 0.002; RE: p = 0.044). Healthy children had a mean PP of −125.19 daPa and a mean compliance of 0.21 cm3 in LE and a mean PP of −144.27 daPa and a mean compliance of 0.22 cm3 in RE. Conclusion Tympanometric measures presented in this paper may be applicable to Oporto daycare children up-to 3 years-old. Most of daycare children revealed abnormal tympanograms. Age, rhinorrhea and season influenced children's middle-ear condition.

Utilização de PAM's e Medicamentos e/ou Produtos à base de Plantas pela População do Concelho de Bragança

Introdução: Entende-se por fitoterapia a terapêutica caracterizada pelo uso de plantas medicinais nas diferentes formas farmacêuticas com finalidade terapêutica, usada assim para prevenir, atenuar ou curar um estado patológico. Objetivos: Caracterizar a utilização de plantas aromáticas e medicinais (PAM´s), medicamentos e produtos à base de plantas pela população do concelho de Bragança, conhecer a fonte de indicação deste tipo de produtos, apurar a relação entre a fonte de indicação e o estado de saúde após a utilização, verificar a sua correta utilização relativa à indicação terapêutica, modo e frequência de utilização, identificar potenciais interacções medicamentosas, averiguar se os utentes informam o médico do seu uso, investigar a ocorrência de efeitos adversos e apurar a relação entre os efeitos adversos ocorridos e o género dos inquiridos. Métodos: Trata-se de um estudo observacional analítico-transversal. Nele participaram 404 indivíduos de ambos os géneros e com idades compreendidas entre os 18 e os 89 anos. A recolha de dados foi realizada entre os meses de abril e junho de 2014, através de um questionário estruturado de autopreenchimento, formado por 30 perguntas. Após a recolha dos dados procedeu-se à leitura óptica dos questionários, sendo os dados posteriormente exportados para SPSS permitindo assim o tratamento dos mesmos. Para análise estatística utilizou-se o teste do qui-quadrado considerando o nível de significância p <0,05. Resultados: Verificou-se que 53,7% dos inquiridos recorre terapeuticamente a PAM´s que inclui principalmente o uso de cidreira e camomila enquanto 33,8% faz uso de medicamentos e/ou produtos àbase de plantas nomeadamente Valdispert e Daflon. A utilização de PAM,s é motivada por autoconhecimento e indicação de familiares, amigos e vizinhos. Já os medicamentos e/ou produtos à base de plantas são utilizados maioritariamente por prescrição médica e indicação na farmácia. A ocorrência de efeitos indesejáveis foi sentida unicamente com a utilização de PAM´s e em pequena escala. Conclusão: O recurso a este tipo de produtos é uma prática bastante comum entre os moradores do concelho de Bragança, que utilizam uma grande diversidade de plantas e produtos à base de plantas para um variado leque de indicações terapêuticas, apontando a percentagem de respostas para um conhecimento dos seus efeitos terapêuticos.

Implementação de alertas de interações medicamentosas na construção de uma farmácia online

Os sistemas de apoio à decisão clinica têm-se revelado essenciais no dia-a-dia da população, nomeadamente dos profissionais e dos pacientes. Estes sistemas podem ser aplicados com diferentes objetivos: como sistemas de alerta; de prevenção de doenças; sistemas para dosagem de medicação e prescrição; entre outras. Atualmente é notório o aumento de interesse por parte da população em entender e em possuir um papel ativo nas decisões médicas. Para conseguirem fazê-lo necessitam de procurar informação. O meio mais utilizado para obter essa informação é a internet, onde a informação se encontra em grande quantidade e muito dispersa. Para além da quantidade é imprescindível encontrar informação credível, para que não haja indução da pessoa em erro. Para ajudar a solucionar estes problemas surgiram os sistemas de recomendação na saúde. Estes sistemas foram idealizados para fornecer informações às quais os utilizadores podem recorrer para tomar decisões conscientes e seguras sobre a sua saúde. Também os sistemas de alerta se têm revelado importantes na área da saúde. Estes sistemas podem ser usados em diferentes contextos e sobre diferentes assuntos, como por exemplo, a alteração do estado clínico de um paciente monitorizado, em tempo real, ou em interações medicamentosas. As interações medicamentosas podem advir da automedicação do utente ou da larga quantidade de medicação que, a partir de determinada idade, os utentes ingerem. Pode ter como causa medicação que administrem regularmente, ou até mesmo diariamente, ou doenças/estados que o utente possua que, em simultâneo com determinada medicação pode causar reações adversas. Neste trabalho foi desenvolvido um protótipo de uma farmácia online (FoAM) que fornece, ao utilizador, alertas quando há possibilidade de interações. As causas de interações consideradas foram os medicamentos que o utilizador consuma e/ou doenças/estados que possua. O objetivo é alertar para o caso das causas que o utilizador possui interagirem com o(s) medicamento(s) que este deseja adquirir. Para alcançar esse objetivo foi necessário selecionar os medicamentos a disponibilizar assim como as suas interações. Essa seleção foi baseada no prontuário terapêutico 2013 disponibilizado pelo INFARMED. Depois de recolhida e analisada a informação, foi possível compreender que informações clínicas o sistema necessita para que consiga identificar os medicamentos que não são aconselháveis adquirir. Para isso, é necessário que o utilizador forneça essas informações clínicas pessoais, necessidade que vai de encontro à posição defendida por diversos autores que apontam o uso de registos eletrónicos de saúde muito benéfico para conseguir alertas mais personalizados suprindo assim as necessidades do utilizador. É também preponderante que o utilizador perceba o porquê de determinado medicamento não ser aconselhável, por isso, ao ser emitido o alerta é também apresentada a justificação do mesmo, ou seja, é disponibilizado ao utilizador qual a causa que indicou no formulário responsável pela interação.

Myoglobin-biomimetic electroactive materials made by surface molecular imprinting on silica beads and their use as ionophores in polymeric membranes for potentiometric transduction

Myoglobin (Mb) is among the cardiac biomarkers playing a major role in urgent diagnosis of cardiovascular diseases. Its monitoring in point-of-care is therefore fundamental. Pursuing this goal, a novel biomimetic ionophore for the potentiometric transduction of Mb is presented. It was synthesized by surface molecular imprinting (SMI) with the purpose of developing highly efficient sensor layers for near-stereochemical recognition of Mb. The template (Mb) was imprinted on a silane surface that was covalently attached to silica beads by means of self-assembled monolayers. First the silica was modified with an external layer of aldehyde groups. Then, Mb was attached by reaction with its amine groups (on the external surface) and subsequent formation of imine bonds. The vacant places surrounding Mb were filled by polymerization of the silane monomers 3-aminopropyltrimethoxysilane (APTMS) and propyltrimethoxysilane (PTMS). Finally, the template was removed by imine cleavage after treatment with oxalic acid. The results materials were finely dispersed in plasticized PVC selective membranes and used as ionophores in potentiometric transduction. The best analytical features were found in HEPES buffer of pH 4. Under this condition, the limits of detection were of 1.3 × 10−6 mol/L for a linear response after 8.0 × 10−7 mol/L with an anionic slope of −65.9 mV/decade. The imprinting effect was tested by preparing non-imprinted (NI) particles and employing these materials as ionophores. The resulting membranes showed no ability to detect Mb. Good selectivity was observed towards creatinine, sacarose, fructose, galactose, sodium glutamate, and alanine. The analytical application was conducted successfully and showed accurate and precise results.

Analysis of self-interference within DAG tasks

6th Real-Time Scheduling Open Problems Seminar (RTSOPS 2015), Lund, Sweden.

Double power laws, fractals and self-similarity

Power law (PL) distributions have been largely reported in the modeling of distinct real phenomena and have been associated with fractal structures and self-similar systems. In this paper, we analyze real data that follows a PL and a double PL behavior and verify the relation between the PL coefficient and the capacity dimension of known fractals. It is to be proved a method that translates PLs coefficients into capacity dimension of fractals of any real data.

Condition-Based Diagnosis of Mechatronic Systems Using a Fractional Calculus Approach

While fractional calculus (FC) is as old as integer calculus, its application has been mainly restricted to mathematics. However, many real systems are better described using FC equations than with integer models. FC is a suitable tool for describing systems characterised by their fractal nature, long-term memory and chaotic behaviour. It is a promising methodology for failure analysis and modelling, since the behaviour of a failing system depends on factors that increase the model’s complexity. This paper explores the proficiency of FC in modelling complex behaviour by tuning only a few parameters. This work proposes a novel two-step strategy for diagnosis, first modelling common failure conditions and, second, by comparing these models with real machine signals and using the difference to feed a computational classifier. Our proposal is validated using an electrical motor coupled with a mechanical gear reducer.

Power Law Behavior and Self-similarity in Modern Industrial Accidents

Advances in technology have produced more and more intricate industrial systems, such as nuclear power plants, chemical centers and petroleum platforms. Such complex plants exhibit multiple interactions among smaller units and human operators, rising potentially disastrous failure, which can propagate across subsystem boundaries. This paper analyzes industrial accident data-series in the perspective of statistical physics and dynamical systems. Global data is collected from the Emergency Events Database (EM-DAT) during the time period from year 1903 up to 2012. The statistical distributions of the number of fatalities caused by industrial accidents reveal Power Law (PL) behavior. We analyze the evolution of the PL parameters over time and observe a remarkable increment in the PL exponent during the last years. PL behavior allows prediction by extrapolation over a wide range of scales. In a complementary line of thought, we compare the data using appropriate indices and use different visualization techniques to correlate and to extract relationships among industrial accident events. This study contributes to better understand the complexity of modern industrial accidents and their ruling principles.

Cohesive law estimation of adhesive joints in mode II condition

The adhesive bonding technique enables both weight and complexity reduction in structures that require some joining technique to be used on account of fabrication/component shape issues. Because of this, adhesive bonding is also one of the main repair methods for metal and composite structures by the strap and scarf configurations. The availability of strength prediction techniques for adhesive joints is essential for their generalized application and it can rely on different approaches, such as mechanics of materials, conventional fracture mechanics or damage mechanics. These two last techniques depend on the measurement of the fracture toughness (GC) of materials. Within the framework of damage mechanics, a valid option is the use of Cohesive Zone Modelling (CZM) coupled with Finite Element (FE) analyses. In this work, CZM laws for adhesive joints considering three adhesives with varying ductility were estimated. The End-Notched Flexure (ENF) test geometry was selected based on overall test simplicity and results accuracy. The adhesives Araldite® AV138, Araldite® 2015 and Sikaforce® 7752 were studied between high-strength aluminium adherends. Estimation of the CZM laws was carried out by an inverse methodology based on a curve fitting procedure, which enabled a precise estimation of the adhesive joints’ behaviour. The work allowed to conclude that a unique set of shear fracture toughness (GIIC) and shear cohesive strength (ts0) exists for each specimen that accurately reproduces the adhesive layer’ behaviour. With this information, the accurate strength prediction of adhesive joints in shear is made possible by CZM.

Effects of self-administered exercises based on Tuina techniques on musculoskeletal disorders of professional orchestra musicians: a randomized controlled trial

Background Musicians are frequently affected by playing-related musculoskeletal disorders (PRMD). Common solutions used by Western medicine to treat musculoskeletal pain include rehabilitation programs and drugs, but their results are sometimes disappointing. Objective To study the effects of self-administered exercises based on Tuina techniques on the pain intensity caused by PRMD of professional orchestra musicians, using numeric visual scale (NVS). Design, setting, participants and interventions We performed a prospective, controlled, single-blinded, randomized study with musicians suffering from PRMD. Participating musicians were randomly distributed into the experimental (n = 39) and the control (n = 30) groups. After an individual diagnostic assessment, specific Tuina self-administered exercises were developed and taught to the participants. Musicians were instructed to repeat the exercises every day for 3 weeks. Main outcome measures Pain intensity was measured by NVS before the intervention and after 1, 3, 5, 10, 15 and 20 d of treatment. The procedure was the same for the control group, however the Tuina exercises were executed in points away from the commonly-used acupuncture points. Results In the treatment group, but not the control group, pain intensity was significantly reduced on days 1, 3, 5, 10, 15 and 20. Conclusion The results obtained are consistent with the hypothesis that self-administered exercises based on Tuina techniques could help professional musicians controlling the pain caused by PRMD. Although our results are very promising, further studies are needed employing a larger sample size and double blinding designs.

SHõWA: A Self-healing Framework for Web-based Applications

The complexity of systems is considered an obstacle to the progress of the IT industry. Autonomic computing is presented as the alternative to cope with the growing complexity. It is a holistic approach, in which the systems are able to configure, heal, optimize, and protect by themselves. Web-based applications are an example of systems where the complexity is high. The number of components, their interoperability, and workload variations are factors that may lead to performance failures or unavailability scenarios. The occurrence of these scenarios affects the revenue and reputation of businesses that rely on these types of applications. In this article, we present a self-healing framework for Web-based applications (SHõWA). SHõWA is composed by several modules, which monitor the application, analyze the data to detect and pinpoint anomalies, and execute recovery actions autonomously. The monitoring is done by a small aspect-oriented programming agent. This agent does not require changes to the application source code and includes adaptive and selective algorithms to regulate the level of monitoring. The anomalies are detected and pinpointed by means of statistical correlation. The data analysis detects changes in the server response time and analyzes if those changes are correlated with the workload or are due to a performance anomaly. In the presence of per- formance anomalies, the data analysis pinpoints the anomaly. Upon the pinpointing of anomalies, SHõWA executes a recovery procedure. We also present a study about the detection and localization of anomalies, the accuracy of the data analysis, and the performance impact induced by SHõWA. Two benchmarking applications, exercised through dynamic workloads, and different types of anomaly were considered in the study. The results reveal that (1) the capacity of SHõWA to detect and pinpoint anomalies while the number of end users affected is low; (2) SHõWA was able to detect anomalies without raising any false alarm; and (3) SHõWA does not induce a significant performance overhead (throughput was affected in less than 1%, and the response time delay was no more than 2 milliseconds).