Miracle-dz/UniFAR-FTUs huggingface dataset:
Rapid Application Temporary Tattoos for Medical Moulage: From Development to Testing and Commercialization

Military medical education and training often utilize theatrical makeup, or moulage, to simulate injuries or pathologies. Traditional methods of moulage application are incredibly realistic when expertly applied. However, moulage can be expensive in terms of supplies, manpower, and time. We proposed that by creating a library of illustrations for use with temporary tattoos, the overall cost of moulage could decrease with little to no impact on training goals and objectives. The development, detailed testing and plans for commercialization are outlined herein.
A Pin Power Reconstruction Method for CANDU Reactor Cores Based on Coarse-Mesh Finite Difference Calculations

A reconstruction method has been developed for recovering pin powers from Canada deuterium uranium (CANDU) reactor core calculations performed with a coarse-mesh finite difference diffusion approximation and single-assembly lattice calculations. The homogeneous intranodal distributions of group fluxes are efficiently computed using polynomial shapes constrained to satisfy the nodal information approximated from the node-average fluxes. The group fluxes of individual fuel pins in a heterogeneous fuel bundle are determined using these homogeneous intranodal flux distributions and the form functions obtained from the single-assembly lattice calculations. The pin powers are obtained using these pin fluxes and the pin power cross sections generated by the single-assembly lattice calculation. The accuracy of the reconstruction schemes has been estimated by performing benchmark calculations for partial core representation of a natural uranium CANDU reactor. The results indicate that the reconstruction schemes are quite accurate, yielding maximum pin power errors of less than ~3%. The main contribution to the reconstruction error is made by the errors in the node-average fluxes obtained from the coarse-mesh finite difference diffusion calculation; the errors due to the reconstruction schemes are <1%.
Designing a Decision-Making Framework for Facility Location of a Community Mall Using Analytic Hierarchy Process (AHP): A Case Study on Company XYZ

Retail establishments make the movement and trade of goods, as well as the international capital possible, and selecting a location for these facilities is critical since it determines whether the business will thrive or not. This study used Analytic Hierarchy Process (AHP) in determining the best location for a community mall among pre-selected alternatives. Four main criteria were identified namely physical location, strategic background, market generators, and competition condition. Under the main criterion physical location are the sub-criteria accessibility, lot area, frontage, lot shape, and road use; for the strategic background criterion are sub-criteria urbanization, population size, and household income class; for market generators criterion are sub-criteria residential area, educational establishments, and other establishments; and lastly, for competition condition criterion are sub-criteria number of competitors and distances of competitors. These factors were determined through a review of related researches and consultation with the management of Company XYZ, a well-known retail industry player and main stakeholder of the research study. The factors were modeled hierarchically and a pairwise comparison was done by experts to determine the weights of importance of the factors. The computed priorities were used as weights of factors for the framework. Finally, the framework was used and a location where Company XYZ can construct their next community mall was chosen. Results of sensitivity analysis demonstrated that the decision was robust.
On the epidemiology, clinical presentation and transmission of respiratory viral infections

Respiratory viral infections encompass a large heterogenous group of pathogens that constitute a major burden of disease globally. The various routes of transmission including airborne spread make them difficult to control. The aim of this thesis was to investigate the epidemiology, clinical presentation and transmission of viral airborne pathogens and respiratory viruses affecting the airways. In paper I over 20 000 clinical airway samples, referred for the detection of respiratory viral pathogens over a period of 3 years, were collected retrospectively and analysed for seasonal variation and relationship with meteorological factors. Paper II was a prospective study analysing the prevalence of respiratory viruses, as detected by PCR in nasopharyngeal samples, in 444 adults asymptomatic of respiratory tract infection. In paper III, clinical and laboratory differences of naïve measles infection compared to breakthrough infection, with focus on the risk of onward transmission, were investigated, in a retrospective analysis of a measles outbreak in Gothenburg 2017/2018. In paper IV we prospectively collected airway samples for multiplex real-time PCR in 220 adults hospitalized at the Department of Infectious Diseases with lower respiratory tract infection across three consecutive winter seasons. Conclusions: The incidence of influenza and several other respiratory viruses are strongly associated with low outdoor temperature and low absolute humidity. The onset of the annual influenza epidemic is preceded by a sudden drop in temperature below 0 °C in our region. The prevalence of respiratory viruses in asymptomatic adults is low (<5%), suggesting that a positive detection by PCR is likely of clinical relevance when symptoms of respiratory tract infection are present. Breakthrough measles infection can be identified by history of vaccination and the detection of IgG at rash onset, and onward transmission from these infections is unlikely due to low viral load and mild respiratory symptoms. Viral infections and viral/bacterial coinfections are a common cause of hospitalization in adults with LRTI. Viral infections may have pronounced symptoms at presentation making them difficult to discern from bacterial infections.
Occurrence of tuberculosis and predictors of zoonotic TB transmission among livestock workers in Lafia, Nigeria

Although tuberculosis (TB) is prevalent in domestic animals and man in Nigeria, prevalence and zoonotic tuberculosis (ZTB) predictors information among livestock workers in Lafia, is scarce. This study determined TB prevalence and ZTB predictors among livestock workers in the town.In a cross-sectional study, sputum samples from 96 participants selected by systematic random sampling (56 abattoir workers and 40 cattle herdsmen and marketers), to whom semi-structured questionnaire was issued, were tested with Ziehl Neelson stain. Data generated were analysed with STATA 12 and OpenEpi at 0.05 critical value (α). From the 96 samples, 13.54% prevalence was recorded. Awareness of ZTB was 60.42% and logistic regression analysis showed good knowledge of ZTB as the predictor (OR=62.89, 95% CI=7.19-549.69, P=0.000). Similarly, ZTB knowledge was 37.50% and the significant predictors were being old (OR=22.09, 95% CI=1.11-13.38, P=0.034); well aware (OR=22.09, 95% CI=2.61-187.27, P=0.005) and good practices (OR=4.78, 95% CI=1.39-16.60) towards ZTB. Thirty-four percent of the respondents engaged in good practices preventing ZTB exposure with the predictors being: an abattoir worker (OR = 3.03, 95% CI=1.04-9.09, P=0.042) and having ZTB good knowledge (OR=4.36, 95% CI=1.33-14.22, P=0.015). Tuberculosis was prevalent among the participants and they need enlightenment on ZTB transmission since they lacked good knowledge, attitudes and practices that prevent it. Keywords: Knowledge, Practices, Predictors, Prevalence, Tuberculosis
The Rat Medial Prefrontal Cortex Exhibits Flexible Neural Activity States during the Performance of an Odor Span Task

Abstract Medial prefrontal cortex (mPFC) activity is fundamental for working memory (WM), attention, and behavioral inhibition; however, a comprehensive understanding of the neural computations underlying these processes is still forthcoming. Toward this goal, neural recordings were obtained from the mPFC of awake, behaving rats performing an odor span task of WM capacity. Neural populations were observed to encode distinct task epochs and the transitions between epochs were accompanied by abrupt shifts in neural activity patterns. Putative pyramidal neuron activity increased earlier in the delay for sessions where rats achieved higher spans. Furthermore, increased putative interneuron activity was only observed at the termination of the delay thus indicating that local processing in inhibitory networks was a unique feature to initiate foraging. During foraging, changes in neural activity patterns associated with the approach to a novel odor, but not familiar odors, were robust. Collectively, these data suggest that distinct mPFC activity states underlie the delay, foraging, and reward epochs of the odor span task. Transitions between these states likely enables adaptive behavior in dynamic environments that place strong demands on the substrates of working memory.
Agilización y securización del proceso de almacenaje de expedientes académicos (SET) mediante BlockChain y Smart Contracts

In this document the problem of the European Suplement to the Degree verification every 10 years is approached by the use of the Ethereum BlockChain system and Smart contracts, which ensures the inmutability of this documents thanks to the peculiarities of this system. First, basic concepts about BlockChain and Smart contracts are introduced, and then an investigation about their actual state (which implementations are the enterprises ongoing with this technology), and once this is done, the problem is examined in depth and a series of options are evaluated to implement a proof of concept which will be used as the solution. After picking one of the options, by a criteria based on cost, time and dificulty, this option is implement by using some tools which allow to interact with Ethereum and develop and deploy Smart contracts.
Study on RAFT polymerization and nano-structured hybrid system of POSS macromers

This work is generally aimed to synthesize POSS based BCPs via RAFT polymerization, to study their self-assembly behaviors, to research on the effect of POSS self-assembly structure on the bulk properties and to prepare nanostructured hybrid epoxy via self-assembly of POSS based copolymer. In Chapter1, We studied the RAFT polymerization of POSS macromers and capable to synthesize well defined POSS based BCPs with high POSS fraction and different topology such as AB，BAB and (BA)3. The vertex group and the morphology effect on thermo-mechanical properties of POSS based BCPs as well as the structure-property relationship was investigated. Dispersion RAFT polymerization in apolar solvent was applied and various aggregates with different morphology in Chapter2. Cooling induced reversible micelle formation and transition was found and the pathway selection in vesicle formation was investigated. Nano-construction of O/I hybrid epoxy materials based on POSS based copolymers was investigated in Chapter4. The effect of functional group content on miscibility of POSS based statistic copolymer and epoxy was investigated. A novel method to nanostructure epoxy hybrid involving self-assembly of POSS based BCPs in epoxy was presented. High homogeneity and well size/morphology control of core-corona structure containing rigid POSS core and soluble PMMA corona in networks were obtained.
Contrasting Patterns of Tree Growth of Mediterranean Pine Species in the Iberian Peninsula

Wood formation is the primary biological process through which carbon is durably sequestered in woody plants, and is thus a major contributor to mitigate climate change. We analyzed the tree growth patterns of four conifer species across the Iberian Peninsula (IP) based on a dense dendrochronological network (179 sites) combined with a high resolution climate dataset. Generalized linear-mixed models were used to predict the potential tree growth of different pine species under different climate conditions considering different age classes. We found a strong age dependency of tree growth, significant variations across the climate gradients, and a significant interaction of both age and climate effects on the four species considered. Overall, Pinus halepensis was the species with the highest climate sensitivity and the highest growth rates in all age classes and across its distribution area. Due to its stronger plastic character and its potential adaptability, Pinus halepensis was demonstrated to be the most suitable species in terms of tree growth and potentiality to enhance carbon sequestration in the IP. Since its potential distribution largely exceeds its actual distribution, P. halepensis arises as a key species to cope with future climate conditions and to keep fixing carbon regardless of the climatic circumstances.
BEM-ESTAR SOCIAL E CONVERGÊNCIA NOS ESTADOS BRASILEIROS: UMA ANÁLISE DE DADOS EM PAINEL A PARTIR DO ÍNDICE DE SEN

The objective of this paper is to analyze the social welfare convergence hypothesis in the Brazilian states, from 2000 to 2014. For the estimation of panel data models, the Grouped Least Squares (POLS) and Least Squares with Dummy Variables (MQVD) were adopted. The results confirm the hypothesis of welfare convergence among Brazilian states. The inclusion of the dummy variables and the human capital proxy pointed to different convergence rates, suggesting that the Brazilian states would be converging to their specific social welfare levels and that, therefore, they will reach steady state in different periods.
Aproximación metodológica para la Integración de DataOps en proyectos de analítica

La aplicacion de metodologias agiles en conjunto con las practicas continuas de DevOps son usadas en proyectos de analitica buscando presentar los resultados de los modelos de analitica de una manera mas rapida, con mas control del proceso de desarrollo y con mayor calidad. Esta es una tendencia emergente que ha sido llamada DataOps. Para que esta tendencia sea valida como proceso de entrega de datos, se hace necesario establecer un marco de actuacion que siga los procedimientos tradicionales como CRISP-DM, e integre las herramientas de las practicas continuas de DevOps y permita tener los beneficios de velocidad y calidad. La presente investigacion presenta una propuesta metodologica donde se unifican las aproximaciones de la ingenieria de software y la analitica, entregando los resultados de una manera integrada y automatizada en su despliegue y monitoreo. Como principal contribucion de la metodologia aplicada se encuentra que una vez definidas las herramientas de integracion, es posible contar con una doble orquestacion, una para el entregable software y otro al producto de datos, donde se pueden controlar sus variables de calidad, velocidad de entrega y valor esperado del negocio.
Effect of Pseudomonas aeruginosa on the Growth of Chickpea (Pisum sativum L.) Plant under Saline Condition

It is cultivated over an area of 8.21 million hectares giving 7.48 million tons (FAO, 2010) with an average yield of 9111 kg/ha. It is a major source of protein in human diet and animal feed. Salinity affects the availability of nutrients and water. Moreover, it induces osmotic stress, physiological drought which typically reduces the growth and photosynthesis in plants (Munnes and Tester, 2008). Growth reduction due to salinity is attributed to ion toxicity and nutrient imbalance, which causes not only high sodium (Na + ) and chloride (Cl − ) accumulation in plants, but also antagonistically affects the uptake of essential nutrient elements such as potassium (K + ), calcium (Ca 2+ ) and magnesium (Mg 2+ ) in competition with Na +
Comparación de perfiles de elementos genéticos plasmídicos de aislamientos clínicos de Acinetobacter baumannii provenientes del Instituto Nacional de Salud en el periodo 2012 - 2015, mediante secuenciación de genoma completo

Acinetobacter baumannii es un microorganismo oportunista ampliamente diseminado en ambientes intra-hospitalarios, el cual se ha visto involucrado en diversos tipos de infecciones, especialmente en pacientes inmunocomprometidos. Del mismo modo, ha mostrado ser un pat´ogeno con una alta capacidad de resistencia a antibi´oticos, la cu´al se correlaciona con la presencia de pl´asmidos, por lo que la obtenci´on de los mismos favorece el estudio de estos en t´erminos epidemiol´ogicos. Sin embargo, la identificaci´on de estas secuencias a trav´es de estrategias convencionales no asegura la obtenci´on de las mismas. La secuenciaci´on de genoma completo de fragmentos cortos, resulta ser una alternativa de bajo costo que permite la obtenci´on de ADN gen´omico, incluyendo el plasm´idico. Se cre´o un flujo de trabajo escrito en Phyton por medio del cual se busca clasificar los contigs producto del ensamblaje empleando la herramienta SPAdes v3.8 asociados a secuencias plasm´idicas, con base en 5 metodolog´ias. De los 82 aislamientos evaluados, 9 no presentaron secuencias asociadas a pl´asmidos. El objetivo del presente trabajo de investigaci´on es presentar una alternativa de selecci´on de contigs plasm´idicos producto de secuenciaci´on de genoma completo de fragmentos cortos y establecer perfiles de elementos plasm´idicos, aplicada a aislamientos colombianos de Acinetobacter baumannii, obtenidos a nivel intra-hospitalario durante los a˜nos 2012 - 2015 por el Instituto Nacional de Salud.
Decentralized Finance: On Blockchain- and Smart Contract-Based Financial Markets

This paper explores the Decentralized Finance (DeFi) ecosystem. We examine how DeFi is emerging on top of the public Ethereum smart contract platform, compare it to the centralized architecture of traditional financial markets and highlight opportunities and potential risks of this ecosystem. We propose a multi-layered framework to analyze the implicit architecture and the various DeFi building blocks, including token standards, decentralized exchanges, decentralized debt markets, blockchain derivatives and on-chain asset management protocols. We conclude that DeFi still is a niche market with certain risks, but also has interesting properties in terms of efficiency, transparency, accessibility and interoperability. As such, it may potentially contribute to a more robust and transparent financial infrastructure.
DNA Sequence Variation among Conspecific Accessions of the Legume Coursetia caribaea Reveals Geographically Localized Clades Here Ranked as Species

Abstract Coursetia caribaea is geographically and morphologically the most variable species in the genus Coursetia and in the tribe Robinieae (Leguminosae, Papilionoideae). Because of potentially undetected species, we assessed the phylogenetic relationships among the eight taxonomic varieties of C. caribaea. Sampling included nuclear ribosomal internal transcribed spacer sequences from 489 Robinieae accessions representing all varieties of C. caribaea and 38 of the 40 species of Coursetia, in addition to chloroplast trnD-trnT sequences from 186 accessions. Separate and combined phylogenetic analyses resolved a clade of conspecific accessions of the Bolivian C. caribaea var. astragalina as sister to the central Andean Coursetia grandiflora clade. Also distantly related to Coursetia caribaea var. caribaea accessions were those of the coastal Oaxacan C. caribaea var. pacifica, which formed the sister clade to accessions of the central Andean C. caribaea var. ochroleuca. The estimated mean ages of the stem clades for these three lineages, 11, 7.7, and 7.7 Ma, respectively, contrasted to the estimated mean ages of the corresponding crown clades of 0, 0, and 1.5 Ma. The contrasting stem and crown ages suggest that these taxa, appropriately ranked as species, Coursetia astragalina, Coursetia diversifolia, and Coursetia ochroleuca, each have persisted over evolutionary time frames as distinct geographically localized populations in seasonally dry tropical forests and woodlands.
Is-it worth investing in NBS aiming at mitigating water risks? Insights from the economic assessment of NAIAD case studies

<p>The economic advantage of NBS solutions aiming at mitigating water-risk is widely put forward as an argument for their development. There is nevertheless limited scientific evidence to support this argument. This paper therefore elaborates a methodological framework for the economic assessment of NBS and presents its application to three NAIAD case studies (the Lez catchment, France; Rotterdam, the Netherlands and Brague catchment, France). Robust methods are particularly applied for the estimation of the benefits associated with NBS. Physical models coupled with damage estimation models are developed to estimate the avoided damages generated by NBS. A diversity of ecosystem service valuation methods are also applied to evaluate the monetary value of NBS co-benefits: contingent valuation (Brague), choice experiment (Lez) and direct valuation methods (Rotterdam). We estimate the cost of implementation and maintenance mainly through the transfer of values coming from studies in similar contexts. Proxies are used to estimate the opportunity costs associated with the development of NBS. Finally, these estimations are compiled in a cost-benefit indicator allowing the estimation of the economic efficiency of NBS strategies. The study confirms that the cost of implementation and maintenance of NBS strategies is lower than the cost of grey solutions for the same level of water risk management, emphasizing the better cost-effectiveness of these solutions. Benefits in terms of avoided damages are however not sufficient to cover investment and maintenance costs. The cost&#8211;effectiveness of NBS strategies, which are combinations of individual NBS measures, may be improved by combining cost effective individual NBS measures. There is indeed a very large heterogeneity of cost-effectiveness of individual NBS measures (cost/m<sup>3</sup> of water retention). Results also reveal that co-benefits represent the largest share of the value generated by NBS strategies. It is therefore of utmost importance that co-benefits are integrated in the economic valuation of NBS for them to be judged economically efficient. This conclusion must be taken into account in the elaboration of NBS funding strategies.There is finally no clear-cut conclusion on the overall economic efficiency of NBS throughout the case studies. Lez reveal a positive cost-benefit analysis, while Rotterdam and Brague cases do not. Results are therefore case-specific and confirm the importance to carry out thorough economic valuations of a diversity of strategies at each sites, including NBS, grey and hybrid solutions, in order to identify the most adequate strategy for water risk management and to address territorial challenges. </p>
Disseminated superficial actinic porokeratosis, Bowen's disease and basal cell carcinoma. Coincidence or rare double malignant transformation?

Disseminated superficial actinic porokeratosis (DSAP) is a skin condition that consist of multiple annular, hyperkeratotic lesions. They are usually distributed bilaterally and mostly affect the extremities. DSAPs have a wider distribution than the porokeratosis of Mibelli and usually appears between the age of 40 and 50. Squamous cell carcinoma, Bowen’s disease, and basal cell carcinoma that arises in the classical type of porokeratosis of Mibelli is well-documented, but there are not many reported cases of Bowen’s disease and basal cell carcinoma arising in DSAP. We present a 77-year-old woman in whom the two– Bowen’s disease and Basal cell carcinoma develop in a histologically proven DSAP.