Prediction of Methanol Production in a Carbon Dioxide Hydrogenation Plant Using Neural Networks

[EN] The objective of this research was to design a neural network (ANN) to predict the methanol flux at the outlet of a carbon dioxide dehydrogenation plant. For the development of the ANN, a database was generated, in the open-source simulation software "DWSIM", from the validation of a process described in the literature. The sample consists of 133 data pairs with four inputs: reactor pressure and temperature, mass flow of carbon dioxide and hydrogen, and one output: flow of methanol. The ANN was designed using 12 neurons in the hidden layer and it was trained with the Levenberg-Marquardt algorithm. In the training, validation and testing phase, a global mean square (RMSE) value of 0.0085 and a global regression coefficient R of 0.9442 were obtained. The network was validated through an analysis of variance (ANOVA), where the p-value for all cases was greater than 0.05, which indicates that there are no significant differences between the observations and those predicted by the ANN. Therefore, the designed ANN can be used to predict the methanol flow at the exit of a dehydrogenation plant and later for the optimization of the system.Chuquin-Vasco, D.; Parra, F.; Chuquin-Vasco, N.; Chuquin-Vasco, J.; Lo-Iacono-Ferreira, VG. (2021). Prediction of Methanol Production in a Carbon Dioxide Hydrogenation Plant Using Neural Networks. Energies. 14(13):1-18. https://doi.org/10.3390/en14133965S118141

E-waste Management in Portugal: Legislation, Practices and Recommendations

The use of electrical and electronic devices has grown exponentially in the last years thanks to technological advances and its wide dissemination. Consequently, the number of obsolete equipment (electronic waste or e-waste) has also increased significantly, becoming a major problem for society. This paper deals with electronic waste and explains the concept and risks for the particular case of Portugal. Measures to reduce the problem such as legislation, education production R&D and social responsibility are also discussed. And finally, a survey is presented which was carried out in two Portuguese Higher Education institutions with a view to determining students' awareness, attitudes and opinions on this matter.info:eu-repo/semantics/publishedVersio

Current review of genetically modified lactic acid bacteria for the prevention and treatment of colitis using murine models

Inflammatory Bowel Diseases (IBD) are disorders of the gastrointestinal tract characterized by recurrent inflammation that requires lifelong treatments. Probiotic microorganisms appear as an alternative for these patients; however, probiotic characteristics are strain dependent and each probiotic needs to be tested to understand the underlining mechanisms involved in their beneficial properties. Genetic modification of lactic acid bacteria (LAB) was also described as a tool for new IBD treatments.The first part of this review shows different genetically modified LAB (GM-LAB) described for IBD treatment since 2000.Then, the two principally studied strategies are discussed (i) GM-LAB producing antioxidant enzymes and (ii) GM-LAB producing the anti-inflammatory cytokine IL-10. Different delivery systems, including protein delivery and DNA delivery, will also be discussed. Studies show the efficacy of GM-LAB (using different expression systems) for the prevention and treatment of IBD, highlighting the importance of the bacterial strain selection (with anti-inflammatory innate properties) as a promising alternative. These microorganisms could be used in the near future for the development of therapeutic products with anti-inflammatory properties that can improve the quality of life of IBD patients.Fil: de Moreno, Maria Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Centro de Referencia para Lactobacilos; ArgentinaFil: del Carmen, Silvina Andrea. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Centro de Referencia para Lactobacilos; ArgentinaFil: Chatel, Jean Marc. Institut National de la Recherche Agronomique; FranciaFil: Miyoshi, Anderson. Universidade Federal do Minas Gerais; BrasilFil: Azevedo, Vasco. Universidade Federal do Minas Gerais; BrasilFil: Langella, Philippe. Institut National de la Recherche Agronomique; FranciaFil: Bermudez Humaran, Luis G.. Institut National de la Recherche Agronomique; FranciaFil: Leblanc, Jean Guy Joseph. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Centro de Referencia para Lactobacilos; Argentin

Type Inference for Deadlock Detection in a Multithreaded Polymorphic Typed Assembly Language

We previously developed a polymorphic type system and a type checker for a multithreaded lock-based polymorphic typed assembly language (MIL) that ensures that well-typed programs do not encounter race conditions. This paper extends such work by taking into consideration deadlocks. The extended type system verifies that locks are acquired in the proper order. Towards this end we require a language with annotations that specify the locking order. Rather than asking the programmer (or the compiler's backend) to specifically annotate each newly introduced lock, we present an algorithm to infer the annotations. The result is a type checker whose input language is non-decorated as before, but that further checks that programs are exempt from deadlocks

Platinum nanoparticles as pH sensor for intelligent packaging

Pt nanoparticles were produced by reverse micelle templating using DTAB. The resulting nanoparticles showes sizes between 250nm and 500nm and formed clusters. Thioglycolic acid (TGA) was covalently attached to the nanoparticle surface as a stabilizer and as. The Pt nanoparticles were dispersed in water and the dependence of its absorvance on the pH of the solution was studied. The spectra showed surface plamon absorption band at 280nm and also red shifted bands that were attributed to clusters of nanoparticles. It was found that the fraction of cluster population depends on the pH of the aqueous solution and that the response of the Pt nanoparticles to pH variations has a memory effect (hysteresis). The possibility of using these Pt nanoparticles in smart labels for food packaging is outlined.Fundação para a Ciência e a Tecnologia (FCT)FEDERCFUMProject NANO/NTec- SQA/0033/200

Diagnostic investigation to support the restoration of the polychrome terracotta relief "Madonna and Child" in Piove di Sacco (Padova, Italy)

Restoration procedures of the polychrome terracotta relief “Madonna and Child” with papier-mâché inserts from a shrine in Piove di Sacco (Padova, orthern Italy) were assisted by analytical investigations, contributing to identify the chemical composition of the pigments, fractures and internal damages, additions and retouchings, which strongly modified the original manufact. In particular, energy dispersive X-ray fluorescence, Raman spectroscopy and FT-IR spectroscopy were employed to determine the chemical composition of pigments on the original layer and on the overpaintings and to understand the artistic techniques. Moreover, X-ray planar radiography and computed tomography were used to understand the structure and its conservative state. Finally, the relief, stylistically dated to the 17th century, turned out to be a Renaissance terracotta artefact. The polychrome blue traces of lapis lazuli highlighted a valuable artwork and the resemblance with the style of Donatello and his apprentices have recently led to further studies, as an initial part of a larger research on polychrome terracotta in Veneto

Effect of a simulated heat wave on stress parameters of broiler chicken housed at two different stocking densities

 A. Villagrá1, I. Olivas1, N. Fernández2, M. Lainez1, V. Fitas3, A. G. Torres2(1. Centro de Tecnología Animal. Polígono La Esperanza nº 100, 12400, Segorbe, Castellón, Spain;2. Instituto de Cienciay Tecnología Animal, E.T.S.I. Agrónomos, Universidad Politécnica de Valencia, Camino de Vera s/n, 46022, Valencia, Spain;3. ICAAM, Escola de Ciências e Tecnologia, Universidade de Évora, Apartado 94, 7002-554, Évora, Portugal) Abstract: High temperatures and relative humidities are common in certain areas in summer (for example in the Mediterranean area), and can raise the indoor temperature of the farms.  The aim of this paper was to assess the possible differences in the response to this situation of broilers housed at two different stocking densities (15 and 20 birds/m2).  On day 29 until day 36, the indoor temperature increased to 32℃ from 10:00 to 14:00 and maintained at 28℃ for the rest of the day and the relative humidity was maintained at 75%.  Measured variables before and after this treatment were weight, plasma corticosterone, creatine kinase (CK), aspartate transaminase (AST), alanine transferase (ALT), glucose (GLU), heterophil lymphocyte ratio and rectal temperature.  Results showed that no differences were found between the animals housed at 15 birds/m2 and those at  20 birds/m2, so stocking density had no significant effect on the measured parameters.  In addition, corticosterone concentration and alanine transferase appeared as not useful parameters to study this situation.Keywords: broiler, stocking density, enzymes activity, heat wave, hot conditions Citation: A. Villagrá, I. Olivas, N. Fernández, M. Lainez, V. Fitas, and A. G. Torres.  Effect of a simulated heat wave on stress parameters of broiler chicken housed at two different stocking densities.  Agric Eng Int: CIGR Journal, 2010, 12(3): 82-86.   &nbsp

Power Saving MAC Protocols in Wireless Sensor Networks: A Performance Assessment Analysis

Wireless sensor networks are an emerging technology that is used to monitor points or objects of interest in an area. Despite its many applications, this kind of network is often limited by the fact that it is difficult to provide energy to the nodes continuously, forcing the use of batteries, which restricts its operations. Network density may also lead to other problems. Sparse networks require stronger transmissions and have little redundancy while dense networks increase the chances of overhearing and interference. To address these problems, many novel medium access control (MAC) protocols have been developed through the years. The objective of this study is to assess the effectiveness of the T-MAC, B-MAC, and RI-MAC protocols in a variable density network used to collect data inside freight trucks carrying fruits that perish quickly. This article is part of the PrunusPós project, which aims to increase the efficiency of peach and cherry farming in Portugal. The comparison was done using the OMNET++ simulation framework. Our analysis covers the behavior and energetic properties of these protocols as the density of the network increases and shows that RI-MAC is more adaptable and consumes less energy than the alternatives.This study is within the activities of project “PrunusPós - Optimization of processes for the storage, cold conservation, active and/or intelligent packaging and food quality traceability in post-harvested fruit products”, project n. º PDR2020-101-031695, Partnership n.º 87, initiative n.º 175, promoted by PDR 2020 and co-funded by FEADER within Portugal 2020. P.D.G. thanks the support of Fundação para a Ciência e Tecnologia (FCT) and C-MAST - Centre for Mechanical and Aerospace Science and Technologies, under project UIDB/00151/2020. V. N. G. J. S. and J. M. L. P. C. acknowledge that this work is funded by FCT/MCTES through national funds and when applicable co-funded EU funds under the project UIDB/50008/2020. The authors would also like to acknowledge the company InspiringSci, Lda for its interest and valuable contribution to the successful development of this work.info:eu-repo/semantics/publishedVersio

Improving Delivery Probability in Mobile Opportunistic Networks with Social-Based Routing

There are contexts where TCP/IP is not suitable for performing data transmission due to long delays, timeouts, network partitioning, and interruptions. In these scenarios, mobile opportunistic networks (MONs) are a valid option, providing asynchronous transmissions in dynamic topologies. These architectures exploit physical encounters and persistent storage to communicate nodes that lack a continuous end-to-end path. In recent years, many routing algorithms have been based on social interactions. Smartphones and wearables are in vogue, applying social information to optimize paths between nodes. This work proposes Refine Social Broadcast (RSB), a social routing algorithm. RSB uses social behavior and node interests to refine the message broadcast in the network, improving the delivery probability while reducing redundant data duplication. The proposal combines the identification of the most influential nodes to carry the information toward the destination with interest-based routing. To evaluate the performance, RSB is applied to a simulated case of use based on a realistic loneliness detection methodology in elderly adults. The obtained delivery probability, latency, overhead, and hops are compared with the most popular social-based routers, namely, EpSoc, SimBet, and BubbleRap. RSB manifests a successful delivery probability, exceeding the second-best result (SimBet) by 17% and reducing the highest overhead (EpSoc) by 97%.info:eu-repo/semantics/publishedVersio