A taxonomy for the flexible job shop scheduling problem

This chapter aims at developing a taxonomic framework to classify the studies on the flexible job shop scheduling problem (FJSP). The FJSP is a generalization of the classical job shop scheduling problem (JSP), which is one of the oldest NP-hard problems. Although various solution methodologies have been developed to obtain good solutions in reasonable time for FSJPs with different objective functions and constraints, no study which systematically reviews the FJSP literature has been encountered. In the proposed taxonomy, the type of study, type of problem, objective, methodology, data characteristics, and benchmarking are the main categories. In order to verify the proposed taxonomy, a variety of papers from the literature are classified. Using this classification, several inferences are drawn and gaps in the FJSP literature are specified. With the proposed taxonomy, the aim is to develop a framework for a broad view of the FJSP literature and construct a basis for future studies.

Automatic visual detection of human behavior: a review from 2000 to 2014

Due to advances in information technology (e.g., digital video cameras, ubiquitous sensors), the automatic detection of human behaviors from video is a very recent research topic. In this paper, we perform a systematic and recent literature review on this topic, from 2000 to 2014, covering a selection of 193 papers that were searched from six major scientific publishers. The selected papers were classified into three main subjects: detection techniques, datasets and applications. The detection techniques were divided into four categories (initialization, tracking, pose estimation and recognition). The list of datasets includes eight examples (e.g., Hollywood action). Finally, several application areas were identified, including human detection, abnormal activity detection, action recognition, player modeling and pedestrian detection. Our analysis provides a road map to guide future research for designing automatic visual human behavior detection systems.

Escola, democracia e autonomia: uma an��lise das pol��ticas e pr��ticas no cotidiano escolar

Tese de Doutoramento em Ci��ncias da Educa����o - Especialidade em Pol��tica Educativa

Educa����o para a sustentabilidade: O uso de Sistemas de Informa����o Geogr��fica Participativos como instrumento de participa����o de crian��as e adolescentes na constru����o de sociedades mais sustent��veis

Tese de Doutoramento em Ci��ncias da Educa����o (��rea de Conhecimento: Educa����o ambiental e para a Sustentabilidade)

Vitima����o urbana: preval��ncias, fatores de risco, experi��ncias adversas e den��ncia criminal

Disserta����o de mestrado em Psicologia Aplicada

Measurements of Higgs boson production and couplings in the four-lepton channel in pp collisions at center-of-mass energies of 7 and 8 TeV with the ATLAS detector

The final ATLAS Run 1 measurements of Higgs boson production and couplings in the decay channel H���ZZ���������+������������+���������, where ���,������=e or ��, are presented. These measurements were performed using pp collision data corresponding to integrated luminosities of 4.5 fb���1 and 20.3 fb���1 at center-of-mass energies of 7 TeV and 8 TeV, respectively, recorded with the ATLAS detector at the LHC. The H���ZZ������4��� signal is observed with a significance of 8.1 standard deviations at 125.36 GeV, the combined ATLAS measurement of the Higgs boson mass from the H������� and H���ZZ������4��� channels. The production rate relative to the Standard Model expectation, the signal strength, is measured in four different production categories in the H���ZZ������4��� channel. The measured signal strength, at this mass, and with all categories combined, is 1.44 +0.40���0.33. The signal strength for Higgs boson production in gluon fusion or in association with tt�� or bb�� pairs is found to be 1.7 +0.5���0.4, while the signal strength for vector-boson fusion combined with WH/ZH associated production is found to be 0.3 +1.6���0.9.

Acontecimentos significativos em terapia cognitivo-comportamental: a perspetiva do cliente e do terapeuta

Disserta����o de mestrado em Psicologia Aplicada

Adult learning and education policies in Germany, Portugal and Sweden: An analysis of national reports to CONFINTEA VI

The chapter presents a theoretical proposal of three analytical models of Adult Learning and Education (ALE) policies. Some analytical categories and the corresponding dimensions are organised according to the ALE rationale which is typical of each social policy model. Historical, cultural and educational features are mentioned in connexion with the different policy models and its interpretative capacity to making sense of policies and practices implemented in Germany, Portugal and Sweden. !e analysis includes the states of the art and the official representations of ALE produced by the respective national authorities through national reports which were presented to CONFINTEA VI (2009).

Agostinho da Silva: a "vida convers��vel" como fundamento da educa����o

Tese de Doutoramento em Ci��ncias da Educa����o (��rea de especializa����o em Filosofia da Educa����o).

A soft computing approach to kidney diseases evaluation

Kidney renal failure means that one���s kidney have unexpectedly stopped functioning, i.e., once chronic disease is exposed, the presence or degree of kidney dysfunction and its progression must be assessed, and the underlying syndrome has to be diagnosed. Although the patient���s history and physical examination may denote good practice, some key information has to be obtained from valuation of the glomerular filtration rate, and the analysis of serum biomarkers. Indeed, chronic kidney sickness depicts anomalous kidney function and/or its makeup, i.e., there is evidence that treatment may avoid or delay its progression, either by reducing and prevent the development of some associated complications, namely hypertension, obesity, diabetes mellitus, and cardiovascular complications. Acute kidney injury appears abruptly, with a rapid deterioration of the renal function, but is often reversible if it is recognized early and treated promptly. In both situations, i.e., acute kidney injury and chronic kidney disease, an early intervention can significantly improve the prognosis.The assessment of these pathologies is therefore mandatory, although it is hard to do it with traditional methodologies and existing tools for problem solving. Hence, in this work, we will focus on the development of a hybrid decision support system, in terms of its knowledge representation and reasoning procedures based on Logic Programming, that will allow one to consider incomplete, unknown, and even contradictory information, complemented with an approach to computing centered on Artificial Neural Networks, in order to weigh the Degree-of-Confidence that one has on such a happening. The present study involved 558 patients with an age average of 51.7 years and the chronic kidney disease was observed in 175 cases. The dataset comprise twenty four variables, grouped into five main categories. The proposed model showed a good performance in the diagnosis of chronic kidney disease, since the sensitivity and the specificity exhibited values range between 93.1 and 94.9 and 91.9���94.2 %, respectively.

An assessment of chronic kidney diseases

Kidney renal failure means that one���s kidney have unexpectedlystoppedfunctioning,i.e.,oncechronicdiseaseis exposed, the presence or degree of kidney dysfunction and its progression must be assessed, and the underlying syndrome has to be diagnosed. Although the patient���s history and physical examination may denote good practice, some key information has to be obtained from valuation of the glomerular filtration rate, and the analysis of serum biomarkers. Indeed, chronic kidney sickness depicts anomalous kidney function and/or its makeup, i.e., there is evidence that treatment may avoid or delay its progression, either by reducing and prevent the development of some associated complications, namely hypertension, obesity, diabetes mellitus, and cardiovascular complications. Acute kidney injury appears abruptly, with a rapiddeteriorationoftherenalfunction,butisoftenreversible if it is recognized early and treated promptly. In both situations, i.e., acute kidney injury and chronic kidney disease, an early intervention can significantly improve the prognosis. The assessment of these pathologies is therefore mandatory, although it is hard to do it with traditional methodologies and existing tools for problem solving. Hence, in this work, we will focus on the development of a hybrid decision support system, in terms of its knowledge representation and reasoning procedures based on Logic Programming, that will allow onetoconsiderincomplete,unknown,and evencontradictory information, complemented with an approach to computing centered on Artificial Neural Networks, in order to weigh the Degree-of-Confidence that one has on such a happening. The present study involved 558 patients with an age average of 51.7 years and the chronic kidney disease was observed in 175 cases. The dataset comprise twenty four variables, grouped into five main categories. The proposed model showed a good performance in the diagnosis of chronic kidney disease, since the sensitivity and the specificity exhibited values range between 93.1 and 94.9 and 91.9���94.2 %, respectively.

On the routines of wild-type silk fibroin processing toward silk-inspired materials: a review

For years, silk fibroin of a domestic silkworm, Bombyx mori, has been recognized as a valuable material and extensively used. In the last decades, new application fields are emerging for this versatile material. Those final, specific applications of silk dictate the way it has been processed in industry and research. This review focuses on the description of various approaches for silk downstream processing in a laboratory scale, that fall within several categories. The detailed description of workflow possibilities from the naturally found material to a finally formulated product is presented. Considerable attention is given to (bio-) chemical approaches of silk fibroin transformation, particularly, to its enzyme-driven modifications. The focus of the current literature survey is exclusively on the methods applied in research and not industry.

Perce����es dos alunos e fatores de influ��ncia sobre a escolha da Contabilidade como ��rea de estudo

Disserta����o de mestrado em Contabilidade

Perce����es dos enfermeiros e doentes com AVC sobre a educa����o para a sa��de

Enquadramento: O Acidente Vascular Cerebral (AVC) acarreta m��ltiplas altera����es no quotidiano do doente e seus familiares mas a reabilita����o �� considerada uma oportunidade. A Rede Nacional de Cuidados Continuados Integrados (RNCCI) facilita a reabilita����o e a educa����o para a sa��de possibilita a mudan��a de atitude necess��ria para a reabilita����o. Objetivos: Conhecer e divulgar as perce����es de doentes com AVC e enfermeiros relativamente ��s pr��ticas de Educa����o para a Sa��de na RNCCI. Metodologia: Qualitativa, com entrevista semi-estruturada, a 8 doentes e a 17 enfermeiros. A t��cnica escolhida foi a an��lise de conte��do das entrevistas. Partimos de categorias definidas a priori, e emergiram outras categorias. Resultados: Os doentes atribu��ram aos enfermeiros a maior parte da responsabilidade pela reabilita����o. Os enfermeiros relacionaram os aspetos psicol��gicos e a import��ncia do envolvimento da fam��lia com a ades��o do doente ao regime terap��utico. Conclus��o: Os doentes demonstram que se encontram no modelo biom��dico, por outro lado os enfermeiros apontam o modelo biopsicossocial como orientador das suas pr��ticas de Educa����o para a Sa��de na rede.

Constru����o e valida����o de uma escala de autoconceito para estudantes universit��rios de Mo��ambique

O presente artigo apresenta a constru����o e valida����o de um question��rio de avalia����o do autoconceito para a popula����o de adolescentes e jovens-adultos que frequentam o ensino universit��rio em Mo��ambique. A constru����o do question��rio teve como base a an��lise de conte��do de descri����es de si, fornecidas por 15 estudantes, e que informaram acerca das categorias centrais ao autoconceito e seus principais descritores. Com base nos resultados deste primeiro estudo, foram elaborados 77 itens que foram sucessivamente aplicados a pequenos grupos de alunos/as e a diferentes amostras, realizando-se an��lises qualitativas e quantitativas das respostas aos itens de modo a proceder �� defini����o de dimensionalidade da escala e escolha dos melhores itens. Num ��ltimo estudo, a vers��o ultimada da escala foi administrada a uma amostra de 250 estudantes (Midade=29.0, DP= 7.70). Os resultados da an��lise de componentes principais identificaram 24 itens que se organizam em cinco dimens��es de autoconceito: autoconceito religioso, art��stico, acad��mico, social e f��sico. Estas cinco dimens��es explicam 56.8% da vari��ncia total dos itens retidos na vers��o final da escala. As propriedades psicom��tricas s��o favor��veis �� utiliza����o deste instrumento de avalia����o do autoconceito em estudantes universit��rios de Mo��ambique.