The Importance of the Nasolabial Flap

O retalho nasogeniana é uma excelente técnica reconstrutiva para reparar os defeitos do terço médio do face, sobretudo os defeitos do nariz. Os autores descrevem neste artigo cinco casos clínicos de doentes que apresentavam tumores da pálpebra inferior,asa do nariz, junção nasolabial, lábio inferior e cavidade bucal, operados no Instituto Português de Oncologia Francisco Gentil de Lisboa. Nenhum dos doentes foi submetido a um segundo tempo operatório paro correcção de defeitos secundários quer na região dadora quer na região receptora. Os bons resultados alcançados enfatizam a importância deste retalho, quando tecnicamente bem executado

Complex Network Tools to Understand the Behavior of Criminality in Urban Areas

Complex networks are nowadays employed in several applications. Modeling urban street networks is one of them, and in particular to analyze criminal aspects of a city. Several research groups have focused on such application, but until now, there is a lack of a well-defined methodology for employing complex networks in a whole crime analysis process, i.e. from data preparation to a deep analysis of criminal communities. Furthermore, the "toolset" available for those works is not complete enough, also lacking techniques to maintain up-to-date, complete crime datasets and proper assessment measures. In this sense, we propose a threefold methodology for employing complex networks in the detection of highly criminal areas within a city. Our methodology comprises three tasks: (i) Mapping of Urban Crimes; (ii) Criminal Community Identification; and (iii) Crime Analysis. Moreover, it provides a proper set of assessment measures for analyzing intrinsic criminality of communities, especially when considering different crime types. We show our methodology by applying it to a real crime dataset from the city of San Francisco - CA, USA. The results confirm its effectiveness to identify and analyze high criminality areas within a city. Hence, our contributions provide a basis for further developments on complex networks applied to crime analysis.Comment: 7 pages, 2 figures, 14th International Conference on Information Technology : New Generation

ESTIMATION OF COST ALLOCATION COEFFICIENTS AT THE FARM LEVEL USING AN ENTROPY APPROACH

This paper aims to estimate the farm cost allocation coefficients from whole farm input costs. An entropy approach was developed under a Tobit formulation and was applied to a sample of farms from the 2004 FADN data base for Alentejo region, Southern Portugal. A Generalized Maximum Entropy model and Cross Generalized Entropy model were developed to the sample conditions and were tested. Model results were assessed in terms of their precision and estimation power and were compared with observed data. The entropy approach showed to be a flexible and valid tool to estimate incomplete information, namely regarding farm costs. Keywords: Generalized maximum entropy; costs; estimation; Alentejo, FADN

The fractal dimension of agricultural parcels considering maize yield

Before making any decisions, all farm managers would like to have some indication about the effectiveness of a particular investment, especially when investing in precision agriculture technologies. Usually, the best indicator should be associated with the yield geometric complexity and its spatial and temporal dynamics. The fractal dimension of corn yield in a given year was calculated for six studied parcels, considering the fractal dimension of yield buffer zones above and below average yield. The less complex geometries usually have a fractal dimension close to the unit which can reach a value close to 2 in more complex geometries. This study shows that the number of yield buffer zones, above or below average yield, changes over time, with a different pattern, from parcel to parcel, and that there is a greater change in the smaller yield buffer zones compared to the larger ones. Fractal dimension can be a very strong indicator when the spatial complexity of a particular parcel is considered, and it is therefore a strong indicator of the greater or lesser need for precision agriculture technologies. The higher the fractal dimension of a given parcel, the higher will be the economic and environmental return of that parcel, when using precision agriculture technologies

SARS-CoV-2 in outdoor air following the third wave lockdown release, Portugal, 2021

Aiming to contribute with more data on the presence of SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) in outdoor environments, we performed air sampling in outdoor terraces from restaurants in three major cities of Portugal in April 2021, following the third wave lockdown release in the country. Air samples (n=19) were collected in 19 restaurant terraces during lunch time. Each air sample was collected using a Coriolis Compact air sampler, followed by RNA extraction and real-time quantitative PCR for the detection of viral RNA. Viral viability was also assessed through RNAse pre-treatment of samples. Only one of the 19 air samples was positive for SARS-CoV-2 RNA, with 7337 gene copies m–3 for the genomic region N2, with no viable virus in this sample. The low number of positive samples found in this study is not surprising, as sampling took place in outdoor settings where air circulation is optimal, and aerosols are rapidly dispersed by the air currents. These results are consistent with previous reports stating that transmission of SARS-CoV-2 in outdoor spaces is low, although current evidence shows an association of exposures in settings where drinking and eating is possible on-site with an increased risk in acquiring SARS-CoV-2 infection. Moreover, the minimal infectious dose for SARS-CoV-2 still needs to be determined so that the real risk of infection in different environments can be accurately established.This work was supported by national funds, through Fundação para a Ciência e Tecnologia (FCT), under projects UIDB/04750/2020 and LA/P/0064/2020, and by LA/P/0045/2020 (ALiCE) and UIDB/00511/2020 – UIDP/00511/2020 (LEPABE) funded by national funds through FCT/MCTES (PIDDAC). This work was also supported by the AIRCOVID initiative and is financed by the EEA Grants Bilateral Relations Fund through the Agreement on the European Economic Area (EEE), Iceland, Liechtenstein and Norway, which are partners in the internal market with the States-Members of the European Union. As a way of promoting a continuous and balanced strengthening of economic and trade relations, the parties to the EEA Agreement established a multi-annual Financial Mechanism, known as EEA Grants. The EEA Grants aim to reduce social and economic disparities in Europe and strengthen bilateral relations between these three countries and the beneficiary countries. For the period 2014–2021, a total contribution of €2.8 billion has been agreed to 15 beneficiary countries. Portugal will benefit from an allocation ofThis work was supported by national funds, through Fundação para a Ciência e Tecnologia (FCT), under projects UIDB/04750/2020 and LA/P/0064/2020, and by LA/P/0045/2020 (ALiCE) and UIDB/00511/2020 – UIDP/00511/2020 (LEPABE) funded by national funds through FCT/MCTES (PIDDAC). This work was also supported by the AIRCOVID initiative and is financed by the EEA Grants Bilateral Relations Fund through the Agreement on the European Economic Area (EEE), Iceland, Liechtenstein and Norway, which are partners in the internal market with the States-Members of the European Union. As a way of promoting a continuous and balanced strengthening of economic and trade relations, the parties to the EEA Agreement established a multi-annual Financial Mechanism, known as EEA Grants. The EEA Grants aim to reduce social and economic disparities in Europe and strengthen bilateral relations between these three countries and the beneficiary countries. For the period 2014–2021, a total contribution of €2.8 billion has been agreed to 15 beneficiary countries. Portugal will benefit from an allocation of 102.7 million euros. Learn more at eeagrants.gov.pt. Priscilla Gomes da Silva thanks FCT for the financial support of her PhD work (2020.07806.BD, CRM: 0026504) contract through the DOCTORATES 4 COVID-19 program