cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.7514039.v1
title: Methionine + cystine levels for piglets from 6 to 16 kg kept under different degrees of immune system activation

description: SUMMARY This study was conducted to evaluate the effects of dietary methionine + cystine levels on performance, carcass characteristics and immune response of weanling pigs. It was used 360 piglets, 180 males and 180 females, weaned at 20.3 days of age and initial weight of 5.43 ± 1.17kg. Was used the experimental design of randomized blocks in a 5x2 factorial design, with five levels of total methionine + cystine (0.70; 0.77; 0.85; 0.93 e 1.01%) and two forms of immune system activation (vaccinated and unvaccinated), with four replications and nine animals per experimental unit. There was no interaction between the methionine + cystine levels and the degree of activation of the immune system of animals for all parameters evaluated. The immune system activation decreased by 7% feed intake and 5% in daily weight gain of the animals. Methionine and cystine levels linearly improved feed conversion and daily protein deposition on the carcass as the level of sulfur amino acids in the diets increased. Pigs from six to 16 kg, independent of immune system activation, require 0.90% of total methionine + cystine, which corresponds to a daily intake of methionine + cystine 4.44 g/day and a ratio of 58% methionine + cystine: lysine.
DOI: 10.6084/m9.figshare.12171732
title: Discrimination of pores and cracks in iron ore pellets using deep learning neural networks

description: Abstract The discrimination between pores and cracks is an important step in the microstructural analysis of iron ore pellets. While the porosity is fundamental during the reduction process in blast furnaces, cracks are strongly detrimental to the mechanical strength. The usual image processing tools cannot automatically discriminate between these two types of features, especially in 3D images obtained, for instance, with x-ray microtomography (microCT). As pores and cracks have essentially the same x-ray absorbance, they cannot be discriminated by a simple intensity threshold. Given the complex shapes in 3D and the presence of many connections between pores and cracks, shape discrimination is not successful either. Thus, this article proposes the use of Deep Convolutional Neural Networks (DCNN) to discriminate between these 2 classes of discontinuities. The well-known U-NET architecture was employed. The network was trained by manually outlining representative objects of the 2 classes in a few layers of the 3D image. After optimization of the training parameters, the network was applied to the full image, successfully discriminating between pores and cracks. The trained network was then applied to the images of different pellets with good results. However, some residual errors are present. These characteristics are analyzed and possible solutions are proposed.
DOI: 10.6084/m9.figshare.12171732.v1
title: Discrimination of pores and cracks in iron ore pellets using deep learning neural networks

description: Abstract The discrimination between pores and cracks is an important step in the microstructural analysis of iron ore pellets. While the porosity is fundamental during the reduction process in blast furnaces, cracks are strongly detrimental to the mechanical strength. The usual image processing tools cannot automatically discriminate between these two types of features, especially in 3D images obtained, for instance, with x-ray microtomography (microCT). As pores and cracks have essentially the same x-ray absorbance, they cannot be discriminated by a simple intensity threshold. Given the complex shapes in 3D and the presence of many connections between pores and cracks, shape discrimination is not successful either. Thus, this article proposes the use of Deep Convolutional Neural Networks (DCNN) to discriminate between these 2 classes of discontinuities. The well-known U-NET architecture was employed. The network was trained by manually outlining representative objects of the 2 classes in a few layers of the 3D image. After optimization of the training parameters, the network was applied to the full image, successfully discriminating between pores and cracks. The trained network was then applied to the images of different pellets with good results. However, some residual errors are present. These characteristics are analyzed and possible solutions are proposed.
DOI: 10.6084/m9.figshare.7511801
title: “I’m an Immigrant”: cosmopolitanism, alterity and communicational flows in an anti-xenophobia campaign in the UK

description: Abstract This article aims to reflect on the relationship between communication, cosmopolitanism and alterity in migration processes, based on the critical discourse analysis of an anti-xenophobia advertising campaign called “I'm an Immigrant”, held in 2015 in the UK. From a conceptual discussion on notions of cosmopolitanism, identity, alterity, in its connections with representations and citizenship practices of transnational migrations, we analyzed the discourses of the campaign pieces’ texts that have been placed in urban areas of the city of London and in digital spaces on the internet. The analysis showed that the campaign contributes to give visibility to migrants, singularizing their trajectories. However, this singularity is built on the one hand, on the emphasis in an economistic dimension that associates immigration to work, without exposing its contradictions, and, on the other hand, based on a western, white and secular model, which operates for the erasure of differences that constitute UK´s migratory cultures.
DOI: 10.6084/m9.figshare.7367834
title: Natural heritage, documentation and research

description: Abstract This article presents a discussion about Natural Heritage from documentary research regarding the Iguaçu Falls, a landscape that is considered a Natural World Heritage site. The main objective is to demonstrate that the historical documentation about the site contributes to the definition of a natural asset as a patrimony of humanity. Specifically, it aims to present the data acquired with the cataloging and digitalization of historical documents, to subsidize studies on “Natural Heritage” in the area of Information Sciences and to relate the theoretical and bibliographic production on Natural Heritage with the practice of research in specific cases. The methodology consisted of surveying sources and doing research both on-site as well as in libraries and archives in Brazil and Argentina, being the research restricted to the years 1850 through 1920. In addition, there was the digital conversion of photographic material, which were treated and standardized to compose a thematic digital repository. As a result, books, maps and images (landscape paintings, photographs and postcards) were collected, in a total of 118 documents, of which 104 were converted to digital format. The discussion points out the shortage of articles and specific bibliography about Natural Heritage, in social and human sciences, becoming a potential object for Information Sciences, mainly to enrich the production of information, heritage and memory.
DOI: 10.6084/m9.figshare.7367834.v1
title: Natural heritage, documentation and research

description: Abstract This article presents a discussion about Natural Heritage from documentary research regarding the Iguaçu Falls, a landscape that is considered a Natural World Heritage site. The main objective is to demonstrate that the historical documentation about the site contributes to the definition of a natural asset as a patrimony of humanity. Specifically, it aims to present the data acquired with the cataloging and digitalization of historical documents, to subsidize studies on “Natural Heritage” in the area of Information Sciences and to relate the theoretical and bibliographic production on Natural Heritage with the practice of research in specific cases. The methodology consisted of surveying sources and doing research both on-site as well as in libraries and archives in Brazil and Argentina, being the research restricted to the years 1850 through 1920. In addition, there was the digital conversion of photographic material, which were treated and standardized to compose a thematic digital repository. As a result, books, maps and images (landscape paintings, photographs and postcards) were collected, in a total of 118 documents, of which 104 were converted to digital format. The discussion points out the shortage of articles and specific bibliography about Natural Heritage, in social and human sciences, becoming a potential object for Information Sciences, mainly to enrich the production of information, heritage and memory.
DOI: 10.6084/m9.figshare.7511801.v1
title: “I’m an Immigrant”: cosmopolitanism, alterity and communicational flows in an anti-xenophobia campaign in the UK

description: Abstract This article aims to reflect on the relationship between communication, cosmopolitanism and alterity in migration processes, based on the critical discourse analysis of an anti-xenophobia advertising campaign called “I'm an Immigrant”, held in 2015 in the UK. From a conceptual discussion on notions of cosmopolitanism, identity, alterity, in its connections with representations and citizenship practices of transnational migrations, we analyzed the discourses of the campaign pieces’ texts that have been placed in urban areas of the city of London and in digital spaces on the internet. The analysis showed that the campaign contributes to give visibility to migrants, singularizing their trajectories. However, this singularity is built on the one hand, on the emphasis in an economistic dimension that associates immigration to work, without exposing its contradictions, and, on the other hand, based on a western, white and secular model, which operates for the erasure of differences that constitute UK´s migratory cultures.
DOI: 10.6084/m9.figshare.7510661
title: Neuropsychological benefits of a narrative cognitive training program for people living with dementia: A pilot study

description: ABSTRACT Many areas in the cortex are active during reading of narrative material, and these activations in the brain produce significant changes in connectivity. Following previous results showing cognitive benefits in memory domains of a narrative training program in nursing home patients living with dementia, the aim of the present study was to perform a more in depth investigation of the effects of this training on memory domains and other cognitive areas. Methods: An experimental group of eight patients underwent auditory narrative training of 60 hours. At the beginning and end of the training, subjects were tested with a neuropsychological battery to quantify any improvements in individual performance. Results: The results showed a statistically significant improvement in the list learning task (immediate memory) and list learning recognition for single tasks, and a statistically significant improvement in overall cognitive area scores for immediate and delayed memory. Conclusion: Results replicate and expand our previous findings, indicating that this type of intervention can increase performance on memory-related tests.
DOI: 10.6084/m9.figshare.7510661.v1
title: Neuropsychological benefits of a narrative cognitive training program for people living with dementia: A pilot study

description: ABSTRACT Many areas in the cortex are active during reading of narrative material, and these activations in the brain produce significant changes in connectivity. Following previous results showing cognitive benefits in memory domains of a narrative training program in nursing home patients living with dementia, the aim of the present study was to perform a more in depth investigation of the effects of this training on memory domains and other cognitive areas. Methods: An experimental group of eight patients underwent auditory narrative training of 60 hours. At the beginning and end of the training, subjects were tested with a neuropsychological battery to quantify any improvements in individual performance. Results: The results showed a statistically significant improvement in the list learning task (immediate memory) and list learning recognition for single tasks, and a statistically significant improvement in overall cognitive area scores for immediate and delayed memory. Conclusion: Results replicate and expand our previous findings, indicating that this type of intervention can increase performance on memory-related tests.
DOI: 10.6084/m9.figshare.7516028
title: Biochemical imaging of normal, adenoma, and colorectal adenocarcinoma tissues by Fourier transform infrared spectroscopy (FTIR) and morphological correlation by histopathological analysis: preliminary results

description: Introduction The colorectal cancer is a major health problem worldwide. Histology is considered the gold standard for differential diagnosis. However, it depends on the observer's experience, which can lead to discrepancies and poor results. Spectroscopic imaging by Fourier transform infrared (FTIR) is a technique that may be able to improve the diagnosis, because it is based on biochemical differences of the structural constituents of tissue. Therefore, the main goal of this study was to explore the use of FTIR imaging technique in normal colon tissue, colorectal adenoma, and adenocarcinoma in order to correlate their morphological structures with their biochemical imaging. Methods Samples were collected from normal (n = 4), adenoma (n = 4), and adenocarcinoma human colorectal tissue (n = 4) from patients undergoing colonoscopy or surgical resection of colon lesions. The samples were sectioned with a cryostat in sequential sections; the first slice was placed on CaF2 slide and the second slice was placed on glass slide for histological analysis (HE staining). The cluster analyses were performed by the software Cytospec (1.4.02)®. Results In normal samples, biochemical analysis classified six different structures, namely the lamina propria of mucous glands (epithelial cells and goblet cells), central lumen of the gland, mucin, and conjunctive tissue. In samples with adenoma and adenocarcinoma, altered regions could also be identified with high sensitivity and specificity. Conclusion The results of this study demonstrate the potential and viability of using infrared spectroscopy to identify and classify colorectal tissues.
DOI: 10.6084/m9.figshare.5885449.v1
title: Concept of innovation in low-income market

description: Abstract Purpose: Investigate the concept and the adoption of innovation in the low-income market. Design/methodology/approach: Four different studies were conducted. First, a Delphi study with 126 Marketing and Innovation professors from graduate programs. Second, interviews with 13 professionals, technical assistance professionals and retail managers. Third, two focus groups with low-income consumers. Fourth, survey with 390 respondents. Findings: The results indicate that innovations in the low-income markets are mainly characterized by adaptations and adjustments in products, with emphasis on incremental innovations, not radical. In addition, the adoption of innovation in this context is characterized as late, not initial. Originality/value: In terms of theoretical contributions, the present study reveals how the concept of innovation is built in the low-income market. From a perspective collectively constructed with information from different market agents (industry, retail and consumers), research findings become robust to understanding a phenomenon. Moreover, in addition to different market agents, different methods of data collection and analysis were also used, further enriching the results. This collective contribution, based theoretically on a literature of social construction, interviewing different market agents and using different methodological approaches, synergistically potentiated the development of this paper.
DOI: 10.6084/m9.figshare.7509665.v1
title: Hydrodynamic analysis of Lima River estuary, Portugal, based on numerical simulations

description: Abstract The complexity involved in the sustainable management of coastal zones, with their economic and socio-environmental importance, requires a sound knowledge of their hydrodynamics, which are directly influenced by river discharges and ocean tides, but can also be influenced by morphological changes of beds and stratification conditions. This work implemented a two-dimensional hydrodynamic model, using Delft3D software developed by Deltares for analysis of hydrodynamic patterns in the Lima River estuary, Portugal. Water levels and velocities were simulated, considering extreme river discharges and high tides of tidal waves. The model was calibrated using hydrometric field data from the measurement of water levels at four specific locations, showing a good correlation between the measured and simulated water levels, with slight deviation in the low tide period. For Nash-Sutcliffe efficiency metrics (NSE), for example, with the exception of Lanheses2 station (with NSE = 0.87), the other three monitored stations showed NSE above 0.94. The model was strong and was capable of representing real phenomenon and allowing the characterization of hydrodynamic behavior in different scenarios of river discharges and tides. The areas susceptible to flooding as well as the influence the flow and ocean tides have on the hydrodynamics were numerically analyzed. The results showed a greater influence of river flow on the water levels within the estuary, with the tide exerting greater influence in the interior of the estuary, especially in low river flow scenarios. The model can be considered an important tool for the study and management of Lima River estuary, and its capabilities will be extended to morphodynamic and stratification simulations using field data that is being collected.
DOI: 10.6084/m9.figshare.5885449
title: Concept of innovation in low-income market

description: Abstract Purpose: Investigate the concept and the adoption of innovation in the low-income market. Design/methodology/approach: Four different studies were conducted. First, a Delphi study with 126 Marketing and Innovation professors from graduate programs. Second, interviews with 13 professionals, technical assistance professionals and retail managers. Third, two focus groups with low-income consumers. Fourth, survey with 390 respondents. Findings: The results indicate that innovations in the low-income markets are mainly characterized by adaptations and adjustments in products, with emphasis on incremental innovations, not radical. In addition, the adoption of innovation in this context is characterized as late, not initial. Originality/value: In terms of theoretical contributions, the present study reveals how the concept of innovation is built in the low-income market. From a perspective collectively constructed with information from different market agents (industry, retail and consumers), research findings become robust to understanding a phenomenon. Moreover, in addition to different market agents, different methods of data collection and analysis were also used, further enriching the results. This collective contribution, based theoretically on a literature of social construction, interviewing different market agents and using different methodological approaches, synergistically potentiated the development of this paper.
DOI: 10.6084/m9.figshare.7507070
title: Water management assessment methodology for urban planning

description: Abstract One of the biggest challenges in urban planning is to balance the use of natural resources with the need to preserve them. One of the main resources is water, which is essential to human life and activities. Population growth and urban sprawl challenge water availability. Thus, it is important to evaluate development trends in order to predict future scenarios, enabling the adoption of preventive actions and decision-making. The objective of this study is to present a water management assessment methodology for urban planning as a practical and direct tool capable of conveying the necessary information for decision making in the process of balanced and harmonious urban planning, applicable to medium size Brazilian cities.
DOI: 10.6084/m9.figshare.7509665
title: Hydrodynamic analysis of Lima River estuary, Portugal, based on numerical simulations

description: Abstract The complexity involved in the sustainable management of coastal zones, with their economic and socio-environmental importance, requires a sound knowledge of their hydrodynamics, which are directly influenced by river discharges and ocean tides, but can also be influenced by morphological changes of beds and stratification conditions. This work implemented a two-dimensional hydrodynamic model, using Delft3D software developed by Deltares for analysis of hydrodynamic patterns in the Lima River estuary, Portugal. Water levels and velocities were simulated, considering extreme river discharges and high tides of tidal waves. The model was calibrated using hydrometric field data from the measurement of water levels at four specific locations, showing a good correlation between the measured and simulated water levels, with slight deviation in the low tide period. For Nash-Sutcliffe efficiency metrics (NSE), for example, with the exception of Lanheses2 station (with NSE = 0.87), the other three monitored stations showed NSE above 0.94. The model was strong and was capable of representing real phenomenon and allowing the characterization of hydrodynamic behavior in different scenarios of river discharges and tides. The areas susceptible to flooding as well as the influence the flow and ocean tides have on the hydrodynamics were numerically analyzed. The results showed a greater influence of river flow on the water levels within the estuary, with the tide exerting greater influence in the interior of the estuary, especially in low river flow scenarios. The model can be considered an important tool for the study and management of Lima River estuary, and its capabilities will be extended to morphodynamic and stratification simulations using field data that is being collected.
DOI: 10.6084/m9.figshare.7507070.v1
title: Water management assessment methodology for urban planning

description: Abstract One of the biggest challenges in urban planning is to balance the use of natural resources with the need to preserve them. One of the main resources is water, which is essential to human life and activities. Population growth and urban sprawl challenge water availability. Thus, it is important to evaluate development trends in order to predict future scenarios, enabling the adoption of preventive actions and decision-making. The objective of this study is to present a water management assessment methodology for urban planning as a practical and direct tool capable of conveying the necessary information for decision making in the process of balanced and harmonious urban planning, applicable to medium size Brazilian cities.