Andre Avelino - Academia.edu (original) (raw)

Papers by Andre Avelino

Research paper thumbnail of O uso de metodologias ativas como meio para recuperação de notas acadêmicas

CONTRIBUCIONES A LAS CIENCIAS SOCIALES

O presente relato de experiência tem por objetivo analisar e discutir o uso de metodologias ativa... more O presente relato de experiência tem por objetivo analisar e discutir o uso de metodologias ativas no processo de recuperação acadêmica. Após dois anos estudando de forma remota, os estudantes possuem dificuldades em sua readaptação presencial na escola, tendo como reflexo as notas baixas. As metodologias ativas podem contribuir na construção do conhecimento e fortalecimento de assuntos lecionados durante o período acadêmico. No desenvolvimento deste relato, foi observado o empenho dos estudantes na criação de suas aulas e posteriormente sua apresentação, tendo resultados significativos e melhoria notória de suas notas acadêmicas.

Research paper thumbnail of Evaluasi Strategi Bersaing Radio Swaragama Yogyakarta

Evaluasi Strategi Bersaing Radio Swaragama Yogyakarta

Universitas Gadjah Mada, 2015

Research paper thumbnail of Essays on production chains and disruptions: new input-output perspectives on time, scale and space

, comments, discussions, edits and encouragement during my PhD. We are a team, and I couldn't hav... more , comments, discussions, edits and encouragement during my PhD. We are a team, and I couldn't have made it without you. This arduous and exciting journey would also not have happened without the unconditional love and support from my parents, who fostered in me this eager curiosity and desire to continuously learn and understand the world. Thank you for providing me the foundations to achieve my goals and for all the opportunities you gave me. To my advisor, Professor Geoffrey Hewings: I am still humbled that you accepted me at REAL when we first met back in 2010. Ever since then you have been more than an advisor, but a true friend. I know I would not be here if it were not for you. Thank you for guiding me, advocating for me, supporting all my research ideas, and for all the time, money (and coffees) you spent on me. You are incredibly inspiring as a researcher and a human being, and I am so honored (and lucky) to have you as a mentor. I will never be able to repay you for everything you gave me, but I promise to do my best to make you proud and reflect the teacher, researcher and person you showed to me how to be. Professor Sandy Dall'Erba, I was so lucky to have crossed paths with you. These past years working together in so many projects have taught me so much. Words cannot express my gratitude for your presence in my academic career, and for all your constant efforts supporting me, advocating for me in so many different instances, nominating me to awards, and relentlessly recommending me. Thank you. Professor Hayri Onal, thank you for your classes, discussions and for always proposing new exciting ideas when we meet. I deeply appreciate all your comments and suggestions for this dissertation, and I was thrilled to have you in my committee. v A special thank you also goes to Professor Yasuhide Okuyama, for accepting to be in my dissertation committee and for all the discussions we had throughout the years, since we met back in 2011 at the International Input-Output conference in Alexandria. It was such an invaluable experience having someone with your level of expertise commenting on and guiding my dissertation. Professor Kathy Baylis, thank you for being a great teacher and co-author, and for always being welcoming and excited about new research ideas. Thank you for supporting and incentivizing my interdisciplinary side and for advocating for me during all these years. Since the path towards obtaining my PhD actually started at the University of São Paulo, with Professor Joaquim J. M. Guilhoto, I thank him for introducing me to the field of inputoutput analysis, for mentoring and incentivizing my research, and for his friendship and constant support. Another fundamental contributor in my undergraduate years in Brazil was Professor Edgar Cornacchione, who gave the opportunity to spend a semester at the University of Illinois back in my senior year, whom I thank for this life changing experience. Oh, those good old initial years of the PhD… long hours of studying, stress and little sleep… I couldn't have endured it without the friendship and support of my cohort. I would like to specially thank Andrés Ham Gonzales,

Research paper thumbnail of Socioeconomic effects of pension spending: evidence from Spain

International Journal of Social Economics, 2020

PurposeThe purpose of this study is to provide broader understanding of the significant role that... more PurposeThe purpose of this study is to provide broader understanding of the significant role that the pension system has in the Spanish economy by estimating the sectoral production, employment and income sustained by pensioners' consumption.Design/methodology/approachBased on input–output tables by the World Input–Output Database and consumption data from the Household Budget Survey by the Spanish Statistical Office, a demoeconomic model is applied to quantify the direct impacts, indirect impacts from interindustry links and induced impacts from income–consumption connections over a nine-year period (2006–2014). Then, the factors driving the evolution of total output, employment and value added during such period have been examined by using structural decomposition analysis.FindingsThe growing participation of consumption by pensioner households in final demand had proven crucial during the 2008 crisis to alleviate the negative trend in production and employment derived from th...

Research paper thumbnail of Comprehensive Review of California's Innovative Clean Transit Regulation: Phase I Summary Report

This report could not have been completed without the assistance of numerous individuals during t... more This report could not have been completed without the assistance of numerous individuals during this comprehensive review of California's Innovative Clean Transit regulation. The authors would like to extend our most sincere thanks to the project team from California Air Resources Board-especially Yachun Chow, Jing Guo, Bo Yang, Shirin Barfjani, and Annmarie Rodgersfor continuous leadership, support, and guidance throughout the project and for numerous thorough reviews of this report. Additional thanks go to contributors from the National Renewable Energy Laboratory (NREL), including Leslie Eudy (formerly of NREL) for initiating this effort and laying all the groundwork that would become the basis for this comprehensive review, and Alex Schroeder for providing valuable project management and technical guidance. Additional contributions were made by the University of California, Berkeley's Zachary Wu and Emily Rogers, who supported our interviews with zero-emission bus (ZEB) industry stakeholders and provided additional analysis and literature review. We also greatly appreciate the input from numerous stakeholders in the ZEB industry-including transit agencies, bus manufacturers, technology providers, electric utilities, and fuel suppliers-for participating in interviews and providing valuable information to the authors for this report. Finally, a big thank you goes to the California Transit Association, especially Michael Pimentel, and its ZEB Task Force members for providing input on the direction of the comprehensive review and ensuring California transit agency perspectives are well represented.

Research paper thumbnail of The Challenge of Estimating the Impact of Disasters: Many Approaches, Many Limitations and a Compromise

Advances in Spatial Science

Research paper thumbnail of Computational Analysis of Brain MRI for Diagnosis and Monitoring of Multiple Sclerosis

In this monograph the problem of analysis of magnetic resonance images (MRI) to aid the diagnosis... more In this monograph the problem of analysis of magnetic resonance images (MRI) to aid the diagnosis and monitoring of multiple sclerosis (MS) is assessed. MS is a chronic inflammatorydemyelinating disease of the central nervous system (CNS), involving also autoimmunity. It is one of the world's most common neurological disorders, mainly prevalent among young adults usually leading to chronic disability. An understanding of the CNS organization and of MS is firstly provided in this monograph. MRI has played a growing and unique role in the diagnosis and management of multiple sclerosis (MS), having become an established tool to diagnose the disease and to monitor its evolution, also owing to its non-invasiveness, reproducibility, and repeatability. In a general way, the key principles of MS diagnosis rely on assessment of its dissemination in space (DIS) and dissemination in time (DIT), and the exclusion of alternative etiologies. Due to its exquisite sensitivity to depict focal white matter abnormalities and clinically silent lesions, MRI plays a leading role in evaluation DIS and DIT. The diagnostic criteria for MS and the contribution of multimodal MRI findings are herein described. The accurate identification, characterization and quantification of MS lesions in MRI may be extremely complicated as a result of location, size and morphology variability, adding to inter-subject anatomical variability. Additionally, this process demands expert knowledge, a great deal of time and is susceptible to intra-and inter-expert variability. In order to solve this problem, several computational methods have been proposed for automated or semi-automated detection of lesions in brain MRI. These methods comprise image registration and segmentation, and classification algorithms. Herein, the state of the art regarding medical image registration is addressed.

Research paper thumbnail of Potential Socioeconomic and Environmental Effects of an Expanding U.S. Bioeconomy: An Assessment of Near-Commercial Cellulosic Biofuel Pathways

Environmental Science & Technology, 2021

This paper showcases the suitability of an environmentally extended input−output framework to pro... more This paper showcases the suitability of an environmentally extended input−output framework to provide macroeconomic analyses of an expanding bioeconomy to allow for adequate evaluation of its benefits and trade-offs. It also exemplifies the framework's applicability to provide early design stage evaluations of emerging technologies expected to contribute to a future bioeconomy. Here, it is used to compare the current United States (U.S.) bioeconomy to a hypothetical future containing additional cellulosic ethanol produced from two near-commercial pathways. We find that the substitution of gasoline with cellulosic ethanol is expected to yield socioeconomic net benefits, including job growth and value added, and a net reduction in global warming potential and nonrenewable energy use. The substitution fares comparable to or worse than that for other environmental impact categories including human toxicity and eutrophication potentials. We recommend that further technology advancement and commercialization efforts focus on reducing these unintended consequences through improved system design and innovation. The framework is seen as complementary to process-based technoeconomic and life cycle assessments as it utilizes related data to describe specific supply chains while providing analyses of individual products and portfolios thereof at an industrial scale and in the context of the U.S. economy.

Research paper thumbnail of Comparing the Economic Impact of Natural Disasters Generated by Different Input–Output Models: An Application to the 2007 Chehalis River Flood (WA)

Risk Analysis, 2018

The Regional Economics Applications Laboratory (REAL) is a unit in the University of Illinois foc... more The Regional Economics Applications Laboratory (REAL) is a unit in the University of Illinois focusing on the development and use of analytical models for urban and regional economic development. The purpose of the Discussion Papers is to circulate intermediate and final results of this research among readers within and outside REAL. The opinions and conclusions expressed in the papers are those of the authors and do not necessarily represent those of the University of Illinois. All requests and comments should be directed to Sandy Dall'erba, Director.

Research paper thumbnail of The economic, environmental and public health impacts of new power plants: a sequential interindustry model integrated with GIS data

In this paper we look at the interplay of technology and social preferences in different stages o... more In this paper we look at the interplay of technology and social preferences in different stages of economic development. We use a set of input-output tables for 32 different countries, published by OECD. The tables refer to the period 1996-2001 and were consolidated in 48 sectors so that structural comparisons were possible. Through the use of the fields of influence of structural change for partitioned input-output systems, we confirm that, for different levels of per capita GDP, technological progress is an important element to drive output growth. However, as an economy evolves, our dataset also confirm that the composition of final demand, which reveals social preferences in a static way, move away from agricultural and manufacturing to services activities. Such structural changes favor sectors with weaker output multipliers generating a force that helps driving income convergence among countries.

Research paper thumbnail of EPSIM - An Integrated Sequential Interindustry Model for Energy Planning: Evaluating Economic, Electrical, Environmental and Health Dimensions of New Power Plants

SSRN Electronic Journal, 2012

Energy is the input in which modern society depends the most for life standard maintenance beside... more Energy is the input in which modern society depends the most for life standard maintenance besides economic and social activities, however, it is also one of the major sources of greenhouse gases (GHG) emissions, especially the electric sector, due to a world energy matrix concentrated on oil and coal resources. Hereby, impact analysis is essential for policy making focused on sustainable energy systems, once it provides ex ante evaluations for the diverse effects of new projects, being especially important in relation to large infrastructure investments as power plants. In the Brazilian case, although the current electrical matrix is primarily renewable and has low GHG intensity, the required expansion of generation capacity leads to rediscuss power plants' alternatives and their externalities. Due to the transient and heterogeneous demand of these projects, economic, environmental, energy and social impacts must be assessed dynamically and spatially. This study proposes a social-environmental economic model, based on Regional Sequential Interindustry Model (SIM) integrated with geoprocessing data, in order to identify economic, pollution and public health impacts in state and county levels for energy planning analysis. Integrating I-O framework with electrical and dispersion models, dose-response functions and GIS data, this model aims to expand policy makers' scope of analysis and provide an auxiliary tool to assess energy planning scenarios in Brazil. Moreover, a case study for wind power plants in Brazil is performed to illustrate its usage.

Research paper thumbnail of O uso de metodologias ativas como meio para recuperação de notas acadêmicas

CONTRIBUCIONES A LAS CIENCIAS SOCIALES

O presente relato de experiência tem por objetivo analisar e discutir o uso de metodologias ativa... more O presente relato de experiência tem por objetivo analisar e discutir o uso de metodologias ativas no processo de recuperação acadêmica. Após dois anos estudando de forma remota, os estudantes possuem dificuldades em sua readaptação presencial na escola, tendo como reflexo as notas baixas. As metodologias ativas podem contribuir na construção do conhecimento e fortalecimento de assuntos lecionados durante o período acadêmico. No desenvolvimento deste relato, foi observado o empenho dos estudantes na criação de suas aulas e posteriormente sua apresentação, tendo resultados significativos e melhoria notória de suas notas acadêmicas.

Research paper thumbnail of Evaluasi Strategi Bersaing Radio Swaragama Yogyakarta

Evaluasi Strategi Bersaing Radio Swaragama Yogyakarta

Universitas Gadjah Mada, 2015

Research paper thumbnail of Essays on production chains and disruptions: new input-output perspectives on time, scale and space

, comments, discussions, edits and encouragement during my PhD. We are a team, and I couldn't hav... more , comments, discussions, edits and encouragement during my PhD. We are a team, and I couldn't have made it without you. This arduous and exciting journey would also not have happened without the unconditional love and support from my parents, who fostered in me this eager curiosity and desire to continuously learn and understand the world. Thank you for providing me the foundations to achieve my goals and for all the opportunities you gave me. To my advisor, Professor Geoffrey Hewings: I am still humbled that you accepted me at REAL when we first met back in 2010. Ever since then you have been more than an advisor, but a true friend. I know I would not be here if it were not for you. Thank you for guiding me, advocating for me, supporting all my research ideas, and for all the time, money (and coffees) you spent on me. You are incredibly inspiring as a researcher and a human being, and I am so honored (and lucky) to have you as a mentor. I will never be able to repay you for everything you gave me, but I promise to do my best to make you proud and reflect the teacher, researcher and person you showed to me how to be. Professor Sandy Dall'Erba, I was so lucky to have crossed paths with you. These past years working together in so many projects have taught me so much. Words cannot express my gratitude for your presence in my academic career, and for all your constant efforts supporting me, advocating for me in so many different instances, nominating me to awards, and relentlessly recommending me. Thank you. Professor Hayri Onal, thank you for your classes, discussions and for always proposing new exciting ideas when we meet. I deeply appreciate all your comments and suggestions for this dissertation, and I was thrilled to have you in my committee. v A special thank you also goes to Professor Yasuhide Okuyama, for accepting to be in my dissertation committee and for all the discussions we had throughout the years, since we met back in 2011 at the International Input-Output conference in Alexandria. It was such an invaluable experience having someone with your level of expertise commenting on and guiding my dissertation. Professor Kathy Baylis, thank you for being a great teacher and co-author, and for always being welcoming and excited about new research ideas. Thank you for supporting and incentivizing my interdisciplinary side and for advocating for me during all these years. Since the path towards obtaining my PhD actually started at the University of São Paulo, with Professor Joaquim J. M. Guilhoto, I thank him for introducing me to the field of inputoutput analysis, for mentoring and incentivizing my research, and for his friendship and constant support. Another fundamental contributor in my undergraduate years in Brazil was Professor Edgar Cornacchione, who gave the opportunity to spend a semester at the University of Illinois back in my senior year, whom I thank for this life changing experience. Oh, those good old initial years of the PhD… long hours of studying, stress and little sleep… I couldn't have endured it without the friendship and support of my cohort. I would like to specially thank Andrés Ham Gonzales,

Research paper thumbnail of Socioeconomic effects of pension spending: evidence from Spain

International Journal of Social Economics, 2020

PurposeThe purpose of this study is to provide broader understanding of the significant role that... more PurposeThe purpose of this study is to provide broader understanding of the significant role that the pension system has in the Spanish economy by estimating the sectoral production, employment and income sustained by pensioners' consumption.Design/methodology/approachBased on input–output tables by the World Input–Output Database and consumption data from the Household Budget Survey by the Spanish Statistical Office, a demoeconomic model is applied to quantify the direct impacts, indirect impacts from interindustry links and induced impacts from income–consumption connections over a nine-year period (2006–2014). Then, the factors driving the evolution of total output, employment and value added during such period have been examined by using structural decomposition analysis.FindingsThe growing participation of consumption by pensioner households in final demand had proven crucial during the 2008 crisis to alleviate the negative trend in production and employment derived from th...

Research paper thumbnail of Comprehensive Review of California's Innovative Clean Transit Regulation: Phase I Summary Report

This report could not have been completed without the assistance of numerous individuals during t... more This report could not have been completed without the assistance of numerous individuals during this comprehensive review of California's Innovative Clean Transit regulation. The authors would like to extend our most sincere thanks to the project team from California Air Resources Board-especially Yachun Chow, Jing Guo, Bo Yang, Shirin Barfjani, and Annmarie Rodgersfor continuous leadership, support, and guidance throughout the project and for numerous thorough reviews of this report. Additional thanks go to contributors from the National Renewable Energy Laboratory (NREL), including Leslie Eudy (formerly of NREL) for initiating this effort and laying all the groundwork that would become the basis for this comprehensive review, and Alex Schroeder for providing valuable project management and technical guidance. Additional contributions were made by the University of California, Berkeley's Zachary Wu and Emily Rogers, who supported our interviews with zero-emission bus (ZEB) industry stakeholders and provided additional analysis and literature review. We also greatly appreciate the input from numerous stakeholders in the ZEB industry-including transit agencies, bus manufacturers, technology providers, electric utilities, and fuel suppliers-for participating in interviews and providing valuable information to the authors for this report. Finally, a big thank you goes to the California Transit Association, especially Michael Pimentel, and its ZEB Task Force members for providing input on the direction of the comprehensive review and ensuring California transit agency perspectives are well represented.

Research paper thumbnail of The Challenge of Estimating the Impact of Disasters: Many Approaches, Many Limitations and a Compromise

Advances in Spatial Science

Research paper thumbnail of Computational Analysis of Brain MRI for Diagnosis and Monitoring of Multiple Sclerosis

In this monograph the problem of analysis of magnetic resonance images (MRI) to aid the diagnosis... more In this monograph the problem of analysis of magnetic resonance images (MRI) to aid the diagnosis and monitoring of multiple sclerosis (MS) is assessed. MS is a chronic inflammatorydemyelinating disease of the central nervous system (CNS), involving also autoimmunity. It is one of the world's most common neurological disorders, mainly prevalent among young adults usually leading to chronic disability. An understanding of the CNS organization and of MS is firstly provided in this monograph. MRI has played a growing and unique role in the diagnosis and management of multiple sclerosis (MS), having become an established tool to diagnose the disease and to monitor its evolution, also owing to its non-invasiveness, reproducibility, and repeatability. In a general way, the key principles of MS diagnosis rely on assessment of its dissemination in space (DIS) and dissemination in time (DIT), and the exclusion of alternative etiologies. Due to its exquisite sensitivity to depict focal white matter abnormalities and clinically silent lesions, MRI plays a leading role in evaluation DIS and DIT. The diagnostic criteria for MS and the contribution of multimodal MRI findings are herein described. The accurate identification, characterization and quantification of MS lesions in MRI may be extremely complicated as a result of location, size and morphology variability, adding to inter-subject anatomical variability. Additionally, this process demands expert knowledge, a great deal of time and is susceptible to intra-and inter-expert variability. In order to solve this problem, several computational methods have been proposed for automated or semi-automated detection of lesions in brain MRI. These methods comprise image registration and segmentation, and classification algorithms. Herein, the state of the art regarding medical image registration is addressed.

Research paper thumbnail of Potential Socioeconomic and Environmental Effects of an Expanding U.S. Bioeconomy: An Assessment of Near-Commercial Cellulosic Biofuel Pathways

Environmental Science & Technology, 2021

This paper showcases the suitability of an environmentally extended input−output framework to pro... more This paper showcases the suitability of an environmentally extended input−output framework to provide macroeconomic analyses of an expanding bioeconomy to allow for adequate evaluation of its benefits and trade-offs. It also exemplifies the framework's applicability to provide early design stage evaluations of emerging technologies expected to contribute to a future bioeconomy. Here, it is used to compare the current United States (U.S.) bioeconomy to a hypothetical future containing additional cellulosic ethanol produced from two near-commercial pathways. We find that the substitution of gasoline with cellulosic ethanol is expected to yield socioeconomic net benefits, including job growth and value added, and a net reduction in global warming potential and nonrenewable energy use. The substitution fares comparable to or worse than that for other environmental impact categories including human toxicity and eutrophication potentials. We recommend that further technology advancement and commercialization efforts focus on reducing these unintended consequences through improved system design and innovation. The framework is seen as complementary to process-based technoeconomic and life cycle assessments as it utilizes related data to describe specific supply chains while providing analyses of individual products and portfolios thereof at an industrial scale and in the context of the U.S. economy.

Research paper thumbnail of Comparing the Economic Impact of Natural Disasters Generated by Different Input–Output Models: An Application to the 2007 Chehalis River Flood (WA)

Risk Analysis, 2018

The Regional Economics Applications Laboratory (REAL) is a unit in the University of Illinois foc... more The Regional Economics Applications Laboratory (REAL) is a unit in the University of Illinois focusing on the development and use of analytical models for urban and regional economic development. The purpose of the Discussion Papers is to circulate intermediate and final results of this research among readers within and outside REAL. The opinions and conclusions expressed in the papers are those of the authors and do not necessarily represent those of the University of Illinois. All requests and comments should be directed to Sandy Dall'erba, Director.

Research paper thumbnail of The economic, environmental and public health impacts of new power plants: a sequential interindustry model integrated with GIS data

In this paper we look at the interplay of technology and social preferences in different stages o... more In this paper we look at the interplay of technology and social preferences in different stages of economic development. We use a set of input-output tables for 32 different countries, published by OECD. The tables refer to the period 1996-2001 and were consolidated in 48 sectors so that structural comparisons were possible. Through the use of the fields of influence of structural change for partitioned input-output systems, we confirm that, for different levels of per capita GDP, technological progress is an important element to drive output growth. However, as an economy evolves, our dataset also confirm that the composition of final demand, which reveals social preferences in a static way, move away from agricultural and manufacturing to services activities. Such structural changes favor sectors with weaker output multipliers generating a force that helps driving income convergence among countries.

Research paper thumbnail of EPSIM - An Integrated Sequential Interindustry Model for Energy Planning: Evaluating Economic, Electrical, Environmental and Health Dimensions of New Power Plants

SSRN Electronic Journal, 2012

Energy is the input in which modern society depends the most for life standard maintenance beside... more Energy is the input in which modern society depends the most for life standard maintenance besides economic and social activities, however, it is also one of the major sources of greenhouse gases (GHG) emissions, especially the electric sector, due to a world energy matrix concentrated on oil and coal resources. Hereby, impact analysis is essential for policy making focused on sustainable energy systems, once it provides ex ante evaluations for the diverse effects of new projects, being especially important in relation to large infrastructure investments as power plants. In the Brazilian case, although the current electrical matrix is primarily renewable and has low GHG intensity, the required expansion of generation capacity leads to rediscuss power plants' alternatives and their externalities. Due to the transient and heterogeneous demand of these projects, economic, environmental, energy and social impacts must be assessed dynamically and spatially. This study proposes a social-environmental economic model, based on Regional Sequential Interindustry Model (SIM) integrated with geoprocessing data, in order to identify economic, pollution and public health impacts in state and county levels for energy planning analysis. Integrating I-O framework with electrical and dispersion models, dose-response functions and GIS data, this model aims to expand policy makers' scope of analysis and provide an auxiliary tool to assess energy planning scenarios in Brazil. Moreover, a case study for wind power plants in Brazil is performed to illustrate its usage.