Optimization and technical-economic analysis of the production of 5-hydroxymethylfurfural from glucose / Otimização e análise técnico-econômica da produção de 5-hidroximetilfurfural a partir da glicose

In this study, the optimization of four processing schemes were developed for the production of 5 hydroxymethylfurfural (HMF), a chemical platform compound obtained from lignocellulosic biomass and used to make the connection with products from fossil resources. Despite its wide applicability, problems associated with its synthesis hindered its greater use. In this scenario the use of a computer program stands out, as the optimization of processes can be used, evaluating the factors and finding parameters that minimize the costs associated with its production. The optimization of these systems was made from the minimization of the total annual cost of the process carried out through the Aspen Plus® v.11 software, in addition, the economic feasibility of the process was analyzed and it was possible to obtain the HMF at 1.00$ .kg-1 and the co-product levulinic acid between 1.92 and 3.08 $.kg-1. It was also possible to note that among the operating costs, those from glucose had the greatest effect on its value, whereas in relation to equipment costs, reactors and distillation columns were the ones that had the greatest influence.

Approximate decoherence free subspaces for distributed sensing

We consider the sensing of scalar valued fields with specific spatial dependence using a network of sensors, e.g. multiple atoms located at different positions within a trap. We show how to harness the spatial correlations to sense only a specific signal, and be insensitive to others at different positions or with unequal spatial dependence by constructing a decoherence-free subspace for noise sources at fixed, known positions. This can be extended to noise sources lying on certain surfaces, where we encounter a connection to mirror charges and equipotential surfaces in classical electrostatics. For general situations, we introduce the notion of an approximate decoherence-free subspace, where noise for all sources within some volume is significantly suppressed, at the cost of reducing the signal strength in a controlled way. We show that one can use this approach to maintain Heisenberg-scaling over long times and for a large number of sensors, despite the presence of multiple noise sources in large volumes. We introduce an efficient formalism to construct internal states and sensor configurations, and apply it to several examples to demonstrate the usefulness and wide applicability of our approach.

ecc_finder: A Robust and Accurate Tool for Detecting Extrachromosomal Circular DNA From Sequencing Data

Extrachromosomal circular DNA (eccDNA) has been observed in different species for decades, and more and more evidence shows that this specific type of DNA molecules may play an important role in rapid adaptation. Therefore, characterizing the full landscape of eccDNA has become critical, and there are several protocols for enriching eccDNAs and performing short-read or long-read sequencing. However, there is currently no available bioinformatic tool to identify eccDNAs from Nanopore reads. More importantly, the current tools based on Illumina short reads lack an efficient standardized pipeline notably to identify eccDNA originating from repeated loci and cannot be applied to very large genomes. Here, we introduce a comprehensive tool to solve both of these two issues.1 Applying ecc_finder to eccDNA-seq data (either mobilome-seq, Circle-Seq and CIDER-seq) from Arabidopsis, human, and wheat (with genome sizes ranging from 120Mb to 17 Gb), we document the improvement of computational time, sensitivity, and accuracy and demonstrate ecc_finder wide applicability and functionality.

Lines of thought: The emergence of meaning through collaborations and remix

In this report on a specialised topic of remix and emergent learning we will demonstrate an open education project that emerged from the future. Using open and inclusive practices, a global group of educators engaged in some serious fun to collaborate and share digital and physical artefacts based on a poem. The poem itself was collaboratively created using open, online software, and allowed for serendipitous participation without the need to learn new skills. The set of work that was and is being created is beautiful, diverse, and far reaching. We discuss the practices of remix that this collaboration uses and show how these seemingly trivial experiences both nurture wellbeing, lead to serious learning, and have wide applicability in other, more formal, learning contexts.

Conclusion

A conclusion sets out the book’s main findings, emphasizing their wide applicability, in England and beyond. It is argued that the study has shown the possibility of gaining real insights into peasant perceptions thanks to closely grounded analysis of what is often almost incidental evidence.

Quantitative prediction model for affinity of drug–target interactions based on molecular vibrations and overall system of ligand-receptor

Background The study of drug–target interactions (DTIs) affinity plays an important role in safety assessment and pharmacology. Currently, quantitative structure–activity relationship (QSAR) and molecular docking (MD) are most common methods in research of DTIs affinity. However, they often built for a specific target or several targets, and most QSAR and MD methods were based either on structure of drug molecules or on structure of receptors with low accuracy and small scope of application. How to construct quantitative prediction models with high accuracy and wide applicability remains a challenge. To this end, this paper screened molecular descriptors based on molecular vibrations and took molecule-target as a whole system to construct prediction models with high accuracy-wide applicability based on dissociation constant (Kd) and concentration for 50% of maximal effect (EC50), and to provide reference for quantifying affinity of DTIs. Results After comprehensive comparison, the results showed that RF models are optimal models to analyze and predict DTIs affinity with coefficients of determination (R2) are all greater than 0.94. Compared to the quantitative models reported in literatures, the RF models developed in this paper have higher accuracy and wide applicability. In addition, E-state molecular descriptors associated with molecular vibrations and normalized Moreau-Broto autocorrelation (G3), Moran autocorrelation (G4), transition-distribution (G7) protein descriptors are of higher importance in the quantification of DTIs. Conclusion Through screening molecular descriptors based on molecular vibrations and taking molecule-target as whole system, we obtained optimal models based on RF with more accurate-widely applicable, which indicated that selection of molecular descriptors associated with molecular vibrations and the use of molecular-target as whole system are reliable methods for improving performance of models. It can provide reference for quantifying affinity of DTIs.

Enablers of incorporating indoor environmental quality (IEQ) principles into buildings

PurposeThe aim of this study was to identify these enablers in literature and subsume them under broad categories for the development of a framework showing the interrelationships among the enablers.Design/methodology/approachFifty-four (54) relevant articles were desk reviewed from different construction peer-reviewed journals and published conference proceedings to identify 20 core enablers of incorporating indoor environmental quality (IEQ) into building designs.FindingsThe identified enablers include improved occupants' health, well-being and satisfaction, environmental conservation, high return on investments and co-operative methods of design and construction management among others. To better understand the enablers identified, they were classified into seven main interconnected categories: economic enablers, environmental enablers, occupant and end-user enablers, process enablers, corporate image, culture and vision enablers, client-related enablers and external enablers.Research limitations/implicationsThe interconnectedness brought to the fore a subtler appreciation of the drivers of IEQ, which could help expand current knowledge outside the narrow scope of isolated drivers. The fact that the papers selected in this study are not limited geographically underscores the wide applicability of the findings to the global construction industry.Practical implicationsUnderstanding that the enablers will enhance the adoption and design of quality indoor environments, help in building the capacity of consultants to adopt the design of quality IEs and reduce the impact of construction on the environment.Social implicationsThese identified enablers are not limited geographically and thus could promote the design of quality indoor environments globally, particularly in green building design. To the global construction community, this review presents a list of enablers that would expedite the adoption of principles of IEQ designs in buildings thus taking the global construction industry one more step towards sustainable built forms. Promoting the identified enablers would ultimately steer stakeholders to design and build better indoor environments.Originality/valueThe fact that the papers selected in this study are not limited geographically underscores the wide applicability of the findings to the global construction industry.

Biomaterials Development for Application in Tissue Engineering: Literature Review

The search for tissue regeneration has attracted a lot of attention due to its wide applicability, and great potential to solve several problems in advanced therapies. Currently, functional systems have been widely used as therapeutic solutions in the treatment of some skin diseases, whether chronic, acquired, or as a consequence of accidents and burns. It is possible due to the feasibility of releasing and/or acting in loco of some active substances with properties and characteristics very similar to human skin. In this sense, this work aimed to carry out a literature review research regarding the development of new biomaterials, including hydrated membranes composed of biopolymers such as keratin and bacterial cellulose.

Differentiation under capitalism: Genesis and consequences of the rent gap

Uneven development theory and its corollary (i.e. rent-gap theory) are either excessively general or insufficiently flexible to expound the variations of gentrification with unique historical trajectories. A representative example is education-led gentrification in China. The lacuna restricts the explanatory power of rent-gap theory and justifies the fault line between the rent gap and two important phenomena: the forms of displacement identified by Marcuse and territorial stigmatisation. This paper recasts Neil Smith's insights about uneven development from two perspectives, temporal and social differentiations, and elaborates how the interplay between both differences engenders territorial stigmatisation and displacement. Moreover, as two diametrically opposed phenomena, territorial glorification (e.g. super-gentrification and education-led gentrification) and territorial stigmatisation are simultaneously situated in one framework, which is evaluated in education-led gentrification in Nanjing. Redirecting the empirical research from global cities to less established but more representative urban centres, this research shows the potentially wide applicability of the theoretical framework.

Experimental charge-density analysis towards predictive materials science

The ongoing increase in the number of experimental charge-density studies can be related to both the technological advancements and the wide applicability of the method. Regarding materials science, the understanding of bonding features and their relation to the physical properties of materials can not only provide means to optimize such properties, but also to predict and design new materials with the desired ones. In this tutorial, we describe the steps for a charge-density analysis, emphasizing the most relevant features and briefly discussing the applications of the method.