Ovarian Borderline Tumor and Fertility-Sparing Surgery

Ovarian borderline tumors (OBTs) are frequently diagnosed in women of reproductive age. There is no consensus about their management, and it sometimes represents a dilemma aboutwhat should be done: fertility sparing surgery or a hysterectomy with salpingo-oophorectomy? Case: A 32-year-old nulligravida, diagnosed with a right ovarian borderline tumor is presented. She underwent pelvic washings, right salpingo-oophorectomy, appendectomy, and omental and peritoneal biopsies (laparotomic approach). Macroscopically, the left ovary was normal and subsequent exploration for staging was also normal, including the lymph nodes. Intraoperatively, frozen section examination was unclear, suggesting an OBT. Results: The final histopathologic diagnosis was ovarian borderline tumor, stage IIC (International Federation of Gynecology and Obstetrics [FIGO] staging). The patient expressed a desire to preserve her fertility. Thirty-six months postsurgery, she became pregnant spontaneously and delivered a healthy newborn at term. Conclusions: Conservative surgery can be performed in young patients treated for an OBT, provided they are closely followed up and that this surgery is performed after careful consideration and informed consent. It is, however, controversial with respect to performing hysterectomy and salpingo-oopherectomy upon the patient’s completion of childbearing

Evolução nas características medidas em teste de desempenho de machos de pedigree no estado de Santa Catarina.

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Shipping emissions over Europe: a state-of-the-art and comparative analysis

Several emission inventories exist for Europe, which include emissions originating from ship traffic in European sea areas. However, few comparisons of these inventories, in particular focusing on specific emission sectors like shipping, exist in literature. Therefore, the aim of this paper is to review and compare commonly used, and freely available, emission inventories available for the European domain, specifically for shipping and its main pollutants (NOx, SOx and PM10). Five different inventories were considered which include shipping activity: 1) EMEP; 2) TNO-MACC_III; 3) E-PRTR; 4) EDGAR and 5) STEAM. The inventories were initially compared in terms of total emission values and their spatial distribution. The total emission values are largely in agreement (with the exception of E-PRTR), however, the spatial representation shows significant differences in the emission distribution, in particular over the Mediterranean region. As for the contribution of shipping to overall emissions, this sector represent on average 16%, 11% and 5% of total NOx, SOx and PM10 emissions, respectively. Recommendations are given regarding the specific use of each available inventory.Thanks are due for the financial support to CESAM (UID/AMB/50017 -POCI-01-0145-FEDER-007638), FCT/MCTES through national funds (PIDDAC), the co-funding by FEDER, within the PT2020 Partnership Agreement and Compete 2020, for the AIRSHIP project (PTDC/AAG-MAA/2569/2014 - POCI-01-0145-FEDER-016752). And for the post doc and doc grants of J. Ferreira (SFRH/BPD/100346/2014) and C. Gama (SFRH/BD/87468/2012) . To TNO for access to the TNO-MACC_III emission inventory, and Hugo Denier van der Gon and Jeroen J. P. Kuenen for their support regarding the TNO emission inventory. Finally, to Jukka-Pekka Jalkanen et al. for access to their emissions inventory, STEAM.publishe

Patterns of Play in the Counterattack of Elite Football Teams - A Mixed Method Approach

This study aimed to detect and analyse regular patterns of play in football teams during their offensive phase, through the combination of the sequential analysis technique and semi-structured interviews of experienced first League Portuguese coaches. The sample included 36 games (12 per team) of the F.C. Barcelona, Internazionalle Milano, and Manchester United teams that were analysed through sequential analysis with the software SDIS-GSEQ. Based on the detected patterns, semi-structured interviews were carried out with 8 expert high-performance football coaches. Data were analysed through the content analysis technique using the software Nvivo 9. The detected patterns of play revealed specific characteristics of different philosophies of play. Through the performed content analysis we could observe that coaches interpreting play patterns mainly based their opinions on tactical-strategic and tactical-technical aspects, and on the characteristics of the players on their team. On the other hand, consideration was given to three of the main evolutionary trends of play/soccer practice, which focus on the development of exercises that cover: i) the connection between the four play moments (offensive/defensive organization and transitions); ii) the pre-programmed ball possession recovery; iii) the execution of set pieces

The United Nations SDG13 and the EU27 countries performance: a comparative analysis

This paper evaluates the performance of the European Union 27 (EU-27), its supranational regions, and Member States (MSs) in relation to the Climate Action Sustainable Development Goal (SDG13) of the United Nations 2030 Agenda. The Alkire–Foster method is used to develop the Multidimensional Climate Action Index (MCAI) framework. Regarding individual MSs’ overall performance, the results show that Sweden (Northern Europe) performs the best and Croatia (Central and Eastern Europe) the worst. In terms of the average overall performance of individual MSs in the EU-27 and its supranational regions, only Western and Northern Europe have satisfactory scores. Moreover, the performances of the various territories differ by target. This territorial heterogeneity illustrates how the SDG13 targets may require different efforts in each territory. The scores for the MCAI group measure depict an even worse picture. Except for Northern Europe, the proportion of MSs with a satisfactory individual overall composite score (H) is lower than their average overall composite score or intensity (A). The two regions with the lowest H scores (Southern Europe and Central and Eastern Europe) also have the lowest A scores and the lowest average GDP per capita.info:eu-repo/semantics/publishedVersio

Automatic nurse allocation based on a population algorithm for home health care

The provision of home health care services is becoming an important research area, mainly because in Portugal the population is ageing and it is necessary to perform home care services. Home care visits are organized taking into account the medical treatments and general support that elder/sick people need at home. This health service can be provided by nurses teams from Health Units, requiring some logistics for this purpose. Usually, the visits are manually planned and without computational support. The main goal of this work is to carry out the automatic nurse’s allocation of home care visits, of one Bragança Health Unit, in order to minimize the nurse’s workload balancing, spent time in all home care visits and, consequently, reduce the costs involved. The developed methodology was coded in MatLab Software and the problems were efficiently solved by the particle swarm optimization method. The nurse’s allocation solution of home care visits for the presented case study shows a significant improvement and reduction in the maximum time, in the nurse workload balancing, as well as the patients waiting time.This work has been supported by COMPETE:POCI-01-0145-FEDER-007043 and FCT - Fundação para a Ciência e Tecnologia within the project UID/CEC/00319/2019