A framework of quality assessment methods for crowdsourced geographic information : a systematic literature review

Collaboration is the foundation to strengthen disaster preparedness and for effective emergency response actions at all levels. Some studies have highlighted that remote volunteers, i.e., volunteers supported by Web 2.0 technologies, possess the potential to strengthen humanitarian relief organizations by offering information regarding disaster-affected people and infrastructure. Although studies have explored various aspects of this topic, none of those provided an overview of the state-of-the-art of researches on the collaboration among humanitarian organizations and communities of remote volunteers. With the aim of overcoming this gap, a systematic literature review was conducted on the existing research works. Therefore, the main contribution of this work lies in examining the state of research in this field and in identifying potential research gaps. The results show that most of the research works addresses the general domain of disaster management, whereas only few of them address the domain of humanitarian logistics. Collaboration among Humanitarian Relief Organizations and Volunteer Technical Communities: Identifying Research Opportunities and Challenges through a Systematic Literature Review (PDF Download Available). Available from: https://www.researchgate.net/publication/315790817_Collaboration_among_Humanitarian_Relief_Organizations_and_Volunteer_Technical_Communities_Identifying_Research_Opportunities_and_Challenges_through_a_Systematic_Literature_Review [accessed May 26, 2017]

A software architecture to integrate sensor data and volunteered geographic information for flood risk management

Natural disasters are phenomena that can cause great damage to people in urban and rural areas, and thus require preventive and reactive measures. If they involve multiple sources of information, these measures can be more useful and effective. However, the integration of heterogeneous data still poses challenges due to the differences in their structures and contents. To overcome this difficulty, this paper outlines a service-oriented architecture, as part of the AGORA platform, which aims to support the integration of sensor data and Volunteered Geographic Information (VGI) related to floods. The composition of the architectural components enables sensor data to be integrated with VGI by using several algorithms in a flexible and automated manner. The architecture was implemented by means of a prototype as a proof of concept and the results were used to generate thematic maps. These maps can improve flood risk awareness and support decision-making in flood risk management

Collaboration among humanitarian relief organizations and volunteer technical communities : identifying research opportunities and challenges through a systematic literature review

Collaboration is the foundation to strengthen disaster preparedness and for effective emergency response actions at all levels. Some studies have highlighted that remote volunteers, i.e., volunteers supported by Web 2.0 technologies, possess the potential to strengthen humanitarian relief organizations by offering information regarding disaster-affected people and infrastructure. Although studies have explored various aspects of this topic, none of those provided an overview of the state-of-the-art of researches on the collaboration among humanitarian organizations and communities of remote volunteers. With the aim of overcoming this gap, a systematic literature review was conducted on the existing research works. Therefore, the main contribution of this work lies in examining the state of research in this field and in identifying potential research gaps. The results show that most of the research works addresses the general domain of disaster management, whereas only few of them address the domain of humanitarian logistics. Collaboration among Humanitarian Relief Organizations and Volunteer Technical Communities: Identifying Research Opportunities and Challenges through a Systematic Literature Review (PDF Download Available). Available from: https://www.researchgate.net/publication/315790817_Collaboration_among_Humanitarian_Relief_Organizations_and_Volunteer_Technical_Communities_Identifying_Research_Opportunities_and_Challenges_through_a_Systematic_Literature_Review [accessed May 26, 2017]

Bilateral V-Y flap for perineal reconstruction after extralevator abdominoperineal excision

A descrição da amputação abdominoperineal extraelevadora (ELAPE) para a ressecção de tumores do recto baixo ou da margem anal, a subsequente estandardização do tempo perineal e a definição das suas indicações precisas, veio colocar enfâse particular na necessidade de recorrer a técnicas de reconstrução do períneo para encerramento dos defeitos perineais provocados por ressecções mais alargadas. Apresentamos um caso de ELAPE por carcinoma pavimento-celular (CPC) da margem do ânus com necessidade de reconstrução do períneo com retalho miocutâneo V-Y bilateral e revemos a literatura quanto às opções existentes e respetivas vantagens, desvantagens e evidência existente.info:eu-repo/semantics/publishedVersio

Metabolic Signatures of Lung Cancer in Biofluids: NMR-Based Metabonomics of Blood Plasma

In this work, the variations in the metabolic profile of blood plasma from lung cancer patients and healthy controls were investigated through NMR-based metabonomics, to assess the potential of this approach for lung cancer screening and diagnosis. PLS-DA modeling of CPMG spectra from plasma, subjected to Monte Carlo Cross Validation, allowed cancer patients to be discriminated from controls with sensitivity and specificity levels of about 90%. Relatively lower HDL and higher VLDL + LDL in the patients' plasma, together with increased lactate and pyruvate and decreased levels of glucose, citrate, formate, acetate, several amino acids (alanine, glutamine, histidine, tyrosine, valine), and methanol, could be detected. These changes were found to be present at initial disease stages and could be related to known cancer biochemical hallmarks, such as enhanced glycolysis, glutaminolysis, and gluconeogenesis, together with suppressed Krebs cycle and reduced lipid catabolism, thus supporting the hypothesis of a systemic metabolic signature for lung cancer. Despite the possible confounding influence of age, smoking habits, and other uncontrolled factors, these results indicate that NMR-based metabonomics of blood plasma can be useful as a screening tool to identify suspicious cases for subsequent, more specific radiological tests, thus contributing to improved disease management.ERDF - Competitive Factors Thematic Operational ProgrammeFCT/PTDC/ QUI/68017/2006FCOMP-01-0124-FEDER-007439SFRH/BD/ 63430/2009National UNESCO Committee - L'Oréal Medals of Honor for Women in Science 200Portuguese National NMR Network - RNRM

Looking for light Dark Matter with CCDs in the DAMIC experiment

De nombreuses observations astrophysiques et cosmologiques tendent à favoriser le fait que 80% de la matière de l’Univers est constitué d’une matière inconnue et interagissant peu avec la matière ordinaire, la matière sombre. Cependant sa nature reste une des inconnues de la physique moderne. Actuellement la vaste majorité des expériences de détection directe de matière sombre n’ont encore rien détecté. L’expérience Dark Matter In CCDs (DAMIC) à SNOLAB est l’une d’entre elles et utilise des Charged Coupled Devices (CCDs, semi-conducteurs en silicium, comme détecteur. Mon travail au sein de la collaboration DAMIC a été centré sur la production d’un modèle de bruit de fond radioactif à l’aide de l’outil GEANT4. On commencera par introduire l’expérience DAMIC à SNOLAB pour présenter la simulation de l’expérience, de la génération des isotopes radioactifs à la simulation de la réponse du détecteur aux dépôts d’énergies des particules simulées. J’exposerai ensuite les origines et caractéristiques des différents isotopes présents dans l’expérience, informations que l’on a obtenues grâce à des mesures dites de screening, des publications et analyses. Pour terminer je présenterais le modèle de bruit de fond radioactif issu de l’ajustement des simulations au données et la sensibilité de l’expérience DAMIC.A large number of astrophysical and cosmogical observations promote the fact that 80\% of the matter in the Universe is made of an unknown dark matter weakly interacting with the ordinary matter, the dark matter. However little is known about it, and its nature remains one of the unknown of modern physics. Nowadays the vast majority of the direct detection dark matter experiments didn’t detect anything. The Dark Matter In CCDs (DAMIC) experiment at SNOLAB is one of them, and uses Charged Coupled Devices, silicon semi-conductors, as detectors. My work within the DAMIC collaboration was mainly focused on the construction of the radioactive background model with the GEANT4 toolkit. To start we will introduce the DAMIC at SNOLAB experiment and present the simulation of the experiment, from the generation of primary particle to the simulation of the detector behavior to the energy deposit of the particles simulated. Then I will show you the origins and characteristics of the different radioactive isotopes present in the experiment, information that we retrieved from papers, screening measurement and analysis. To finish I will present the radioactive background model coming from the fit of the simulations to the data and the sensibility of the DAMIC experiment

Recherche de matière sombre légère avec des CCDs de l'expérience DAMIC à Snolab

A large number of astrophysical and cosmogical observations promote the fact that 80\% of the matter in the Universe is made of an unknown dark matter weakly interacting with the ordinary matter, the dark matter. However little is known about it, and its nature remains one of the unknown of modern physics. Nowadays the vast majority of the direct detection dark matter experiments didn’t detect anything. The Dark Matter In CCDs (DAMIC) experiment at SNOLAB is one of them, and uses Charged Coupled Devices, silicon semi-conductors, as detectors. My work within the DAMIC collaboration was mainly focused on the construction of the radioactive background model with the GEANT4 toolkit. To start we will introduce the DAMIC at SNOLAB experiment and present the simulation of the experiment, from the generation of primary particle to the simulation of the detector behavior to the energy deposit of the particles simulated. Then I will show you the origins and characteristics of the different radioactive isotopes present in the experiment, information that we retrieved from papers, screening measurement and analysis. To finish I will present the radioactive background model coming from the fit of the simulations to the data and the sensibility of the DAMIC experiment.De nombreuses observations astrophysiques et cosmologiques tendent à favoriser le fait que 80% de la matière de l’Univers est constitué d’une matière inconnue et interagissant peu avec la matière ordinaire, la matière sombre. Cependant sa nature reste une des inconnues de la physique moderne. Actuellement la vaste majorité des expériences de détection directe de matière sombre n’ont encore rien détecté. L’expérience Dark Matter In CCDs (DAMIC) à SNOLAB est l’une d’entre elles et utilise des Charged Coupled Devices (CCDs, semi-conducteurs en silicium, comme détecteur. Mon travail au sein de la collaboration DAMIC a été centré sur la production d’un modèle de bruit de fond radioactif à l’aide de l’outil GEANT4. On commencera par introduire l’expérience DAMIC à SNOLAB pour présenter la simulation de l’expérience, de la génération des isotopes radioactifs à la simulation de la réponse du détecteur aux dépôts d’énergies des particules simulées. J’exposerai ensuite les origines et caractéristiques des différents isotopes présents dans l’expérience, informations que l’on a obtenues grâce à des mesures dites de screening, des publications et analyses. Pour terminer je présenterais le modèle de bruit de fond radioactif issu de l’ajustement des simulations au données et la sensibilité de l’expérience DAMIC

Elucidating the germanium distribution in ITQ-13 zeolites by density functional theory

ITQ-13 is a medium-pore zeolite that can be prepared in all-silica form and as silicogermanate with Si/Ge ratios as low as 3. Usually synthesised in the presence of fluoride, ITQ-13 is among the very few systems containing fluoride anions in two distinct cage types, cube-like d4r units and [4·56] cages. Here, dispersion-corrected density functional theory (DFT) calculations are used to investigate the energetically most favourable Ge distributions for Si/Ge ratios between 55 and 6. The calculations show Ge atoms are incorporated at both the corners of d4r cages and at the basal plane of the [4·56] cages, in accordance with 19F-NMR spectroscopy. Two Ge atoms at adjacent corners of [4·56] cages are stable at the highest Ge content considered (Si/Ge = 6). Such a local environment has not yet been considered in the experimental literature. A calculation of the corresponding 19F-NMR resonance points to overlap with other resonances, which might preclude its clear identification. Additional calculations investigate the variation of the dynamic behaviour of the fluoride anions as a function of the local environment as well as the selective defluorination of the [4·56] cages

Nevus sebaceous on the scalp: answer

We describe the case of a 1-month-old, full-term male infant with an NS (localized, well-delimited, waxy alopecic area on the scalp) that has been present since birth. He was re-evaluated 3 months after the first observation; apart from the lesion on his scalp, the patient was physically normal. Neurological and ophthalmologic evalua­tions were unremarkable, and the infant exhibited normal neuromotor development. The child is now 1 year old, the NS keeps the same characteristics and dimensions, and the general growth and de­velopment are within the normality