The smart waste collection routing problem: alternative operational management approaches

Waste collection is nowadays an increasingly important business. However, it is often an inefficient op- eration due to the high uncertainty associated with the real waste bins’ fill-levels. To deal with such uncertainty the use of sensors to transmit real time information is seen as possible solution. But, in order to improve operations’ efficiency, the sensors’ usage must be combined with optimization procedures that inform on the optimal collection routes to operationalize, so as to guarantee a maximization of the waste collected while also minimizing transportation costs. The present work explores this challenge and studies three operational management approaches to define dynamic optimal routes, considering the access to real-time information on the bins’ fill-levels. A real case study is solved and important results were found where significant profit improvements are observed when compared to the real operation. This shows the potential of the proposed approaches to build an expert system, which can support the operations manager’s decisions.info:eu-repo/semantics/acceptedVersio

Relevance of additive and non-additive genetic relatedness for genomic prediction in rice population under recurrent selection breeding

In genomic recurrent selection programs of self-pollinated crops, additive genetic effects (breeding values) are effectively relevant for selection of superior progenies as new parents. However, considering additive and nonadditive genetic effects can improve the prediction of genome-enhanced breeding values (GEBV) of progenies, for quantitative traits. In this study, we assessed the magnitude of additive and nonadditive genetic variances for eight key traits in a rice population under recurrent selection, using marker-based relationship matrices. We then assessed the goodness-to-fit, bias, stability and accuracy of prediction for breeding values and total (additive plus nonadditive) genetic values, in five genomic best linear unbiased prediction (GBLUP) models, ignoring or not nonadditive genetic effects. The models were compared using 6174 single nucleotide polymorphisms (SNP) markers from 174 S1:3 progenies evaluated in field yield trial. We found dominance effects accounting for a substantial proportion of the total genetic variance for the key traits in rice, especially for days to flowering. In average of the traits, the component of variance additive, dominance, and epistatic contributed to about 34%, 14% and 9% for phenotypic variance. Additive genomic models, ignoring nonadditive genetic effects, showed better fit to the data and lower bias, in addition to greater stability and accuracy for predict GEBV of progenies. These results improve our understanding of the genetic architecture of the key traits in rice, evaluated in early-generation testing. Clearly, this study highlighted the advantages of additive models using genome-wide information, for genomic prediction applied to recurrent selection in a self-pollinated crop

Dominance and G×E interaction effects improvegenomic prediction and genetic gain inintermediate wheatgrass (Thinopyrumintermedium)

Genomic selection (GS) based recurrent selection methods were developed to accelerate the domestication of intermediate wheatgrass [IWG, Thinopyrum intermedium (Host) Barkworth & D.R. Dewey]. A subset of the breeding population phenotyped at multiple environments is used to train GS models and then predict trait values of the breeding population. In this study, we implemented several GS models that investigated the use of additive and dominance effects and G×E interaction effects to understand how they affected trait predictions in intermediate wheatgrass. We evaluated 451 genotypes from the University of Minnesota IWG breeding program for nine agronomic and domestication traits at two Minnesota locations during 2017–2018. Genet-mean based heritabilities for these traits ranged from 0.34 to 0.77. Using fourfold cross validation, we observed the highest predictive abilities (correlation of 0.67) in models that considered G×E effects. When G×E effects were fitted in GS models, trait predictions improved by 18%, 15%, 20%, and 23% for yield, spike weight, spike length, and free threshing, respectively. Genomic selection models with dominance effects showed only modest increases of up to 3% and were trait-dependent. Crossenvironment predictions were better for high heritability traits such as spike length, shatter resistance, free threshing, grain weight, and seed length than traits with low heritability and large environmental variance such as spike weight, grain yield, and seed width. Our results confirm that GS can accelerate IWG domestication by increasing genetic gain per breeding cycle and assist in selection of genotypes with promise of better performance in diverse environments

The impact of media pressure on corporate sustainability in the cement industry: a Portuguese case study

In this study we examine the sustainability reporting practices and sustainability strategies of a leading Portuguese cement company. The Portuguese cement industry had to deal since 1997 with scrutiny and pressure because of its involvement in co-incineration of hazardous industrial waste. Grounded on a lens of analysis combining legitimacy theory and media agenda-setting theory and based on a content analysis of sustainability reports and semi-structured interviews, we analyse the strategies used by the company to deal with said scrutiny and pressure and present its sustainability performance. Media pressure does seem to have impacted sustainability reporting and sustainability strategies as tools for the company to restore its legitimacy. Findings generally suggest that strategies of communication designed to legitimate the company actions were used. In particular, we suggest that the company managed its legitimacy by using simultaneously two sustainability reporting strategies: one of image enhancement and other of avoidance of threatening topics.info:eu-repo/semantics/publishedVersio

Eye movement analysis and cognitive assessment: the use of comparative visual search tasks in a non-immersive vr application

Background: An adequate behavioral response depends on attentional and mnesic processes. When these basic cognitive functions are impaired, the use of non-immersive Virtual Reality Applications (VRAs) can be a reliable technique for assessing the level of impairment. However, most non-immersive VRAs use indirect measures to make inferences about visual attention and mnesic processes (e.g., time to task completion, error rate). Objectives: To examine whether the eye movement analysis through eye tracking (ET) can be a reliable method to probe more effectively where and how attention is deployed and how it is linked with visual working memory during comparative visual search tasks (CVSTs) in non-immersive VRAs. Methods: The eye movements of 50 healthy participants were continuously recorded while CVSTs, selected from a set of cognitive tasks in the Systemic Lisbon Battery (SLB). Then a VRA designed to assess of cognitive impairments were randomly presented. Results: The total fixation duration, the number of visits in the areas of interest and in the interstimulus space, along with the total execution time was significantly different as a function of the Mini Mental State Examination (MMSE) scores. Conclusions: The present study demonstrates that CVSTs in SLB, when combined with ET, can be a reliable and unobtrusive method for assessing cognitive abilities in healthy individuals, opening it to potential use in clinical samples.info:eu-repo/semantics/submittedVersio

Dois Casos de Quérion por Trichophyton Mentagrophytes

Introdução: O Quérion é uma forma rara e infl amatória de tinea capitis causada por fungos dermatófi tos. O diagnóstico é difi cultado pela demora no exame cultural e possibilidade de várias etiologias no diagnóstico diferencial. O tratamento é prolongado e implica o recurso a antifúngicos sistémicos. Novos fármacos têm sido considerados após a descontinuação da griseofulvina em Portugal. Casos clínicos: Apresentamos duas crianças com lesões dolorosas do couro cabeludo com reação infl amatória exuberante, exsudativa e alopécia local acompanhadas de febre. O exame bacteriológico foi negativo e o micológico revelou Trichophyton mentagrophytes. Foram medicados com fl ucloxacilina endovenosa, antifúngicos orais (griseofulvina e itraconazol), corticoide e antifúngico tópicos. A resposta foi favorável com evolução lenta para a cura com área de alopécia residual. Conclusão: Estes casos destacam -se pela sua raridade e ilustram a exuberância das manifestações clínicas desta entidade. O diagnóstico precoce, a identificação e tratamento da fonte de contágio e as medidas de higiene e vigilância sanitária são primordiais para o controlo da infecção

Bayesian factorial design as a tool in the identification of rice blast resistance sources.

Rice germplasm banks have many promising sources of resistance to pathogens. However, identification of resistant genotypes is often arduous, notably when the host-pathogen relationship is complex as in rice blast. In addition, selection of representative Magnaporthe oryzae isolates to adequately identify sources of broad-spectrum resistance is challenging. To overcome these obstacles, data from pathogenicity assays were analyzed as a factorial design, where the pairwise combination comprised rice genotypes and blast isolates. Using this methodology, we aimed to access information about host resistance

Produção de sementes genéticas de arroz irrigado na Embrapa Arroz e Feijão, na safra 2010/2011.

O objetivo deste trabalho é descrever e apresentar os resultados do processo atual de produção de sementes genéticas de arroz na Embrapa Arroz e Feijão na safra 2010/2011

Effect of Cytisus multiflorus in the control of Type-2 Diabetes

Medicinal plants display diverse pharmacological activities with marked therapeutic effects. Type-2 diabetes (T2D) remains a major health problem among industrialized countries, therefore the investigation of formulas to prevent or attenuate the metabolic syndrome, including new therapeutic agents. Currently the interest of medicinal plants is increasing. Portuguese native flora includes several plants known for their hypoglycemic properties. The aim of this work was to study the pharmacological effect of Cytisus multiflorus, one plant from the Portuguese flora traditionally used as an ethnopharmacological agent in diabetes control