Article
Green & Sustainable Science & Technology
Sanda Hasenay, Durdica Ackar
Summary: There is a growing scientific interest in researching food industry by-products (FIB), particularly due to the demand for sustainable production and environmental protection. The research shows that FIB studies are being conducted worldwide, with Spain and Italy leading the way.
Article
Green & Sustainable Science & Technology
Carmen Marin-Buzon, Antonio Perez-Romero, Jose Luis Lopez-Castro, Imed Ben Jerbania, Francisco Manzano-Agugliaro
Summary: In the last 20 years, archaeology has made significant advancements, especially in the field of photogrammetry. These advancements have turned archaeology into a science with interdisciplinary connections to various other fields, including experimental sciences and engineering. The main areas of advancement in photogrammetry applied to archaeology include close-range photogrammetry, aerial photogrammetry (UAV), cultural heritage, excavation, cameras, GPS, laser scan, and virtual reconstruction including 3D printing.
Article
Agriculture, Dairy & Animal Science
Fajar Sofyantoro, Donan Satria Yudha, Kenny Lischer, Tri Rini Nuringtyas, Wahyu Aristyaning Putri, Wisnu Ananta Kusuma, Yekti Asih Purwestri, Respati Tri Swasono
Summary: Snake envenomation is a significant global health concern, and snake venom research has gained considerable attention. Brazil has the highest productivity in this field. Antivenom, proteomics, and transcriptomics are emerging as hot topics in snake venom research, and its application in treating cancer and combating antibiotic-resistant bacteria has been highlighted.
Review
Agronomy
Lucas Santos Santana, Gabriel Araujo e Silva Ferraz, Alberdan Jose da Silva Teodoro, Mozarte Santos Santana, Giuseppe Rossi, Enrico Palchetti
Summary: Precision coffee-growing technologies enhance yield, efficiency, and quality, contributing to global competitiveness. Scientific research plays a crucial role in technological development and application security. Brazilian institutions are leading in publications about precision coffee-growing, with close ties to North American and South African institutions. Geostatistical analysis, remote sensing, and spatial variability mapping are commonly used in experimental research, with a growing trend towards exploring machine learning technologies and autonomous systems. Identifying key agents of scientific development in precision coffee growing advances the development and application of new management systems.
Article
Environmental Sciences
Morteza Nazaripour, Mir Amir Mohammad Reshadi, Seyed Ahmad Mirbagheri, Mehdi Nazaripour, Alireza Bazargan
Summary: Heavy metals pose a threat to human health, with China leading in research in this field. Adsorption is the predominant method being studied for removing toxic substances from water environments.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2021)
Article
Computer Science, Information Systems
Roberto Pizzolotto
Summary: The Open Street Map project, launched in 2004, has collected geographical data from around the world through volunteer mapping. Analysis of the published literature on the project showed that technical themes were prominent, collaboration among scholars and institutes was limited, and knowledge and ideas circulated within a limited network.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
(2022)
Review
Health Care Sciences & Services
Oana Mirela Tiuca, Silviu Horia Morariu, Claudia Raluca Mariean, Robert Aurelian Tiuca, Alin Codrut Nicolescu, Ovidiu Simion Cotoi
Summary: This paper summarizes the knowledge structure and future directions in psoriasis research using bibliometrics. The key topics of research include pathogenesis, treatment modalities, and factors affecting patients' quality of life.
Article
Environmental Sciences
Erik Kristiansson, Jessica Coria, Lina Gunnarsson, Mikael Gustavsson
Summary: Environmental policymaking heavily relies on toxicological properties of chemical pollutants, with ecotoxicological research contributing significantly to this knowledge. The research community faces challenges in covering the vast diversity of chemicals in the environment. Recent trends show a focus on specific chemicals, with changes in research direction and a growing interest in pharmaceuticals over biocides.University and corporate-based research exhibit distinct patterns, and there's a need for continued expansion in ecotoxicology to keep up with the increasing diversity of chemicals used in society.
ENVIRONMENTAL SCIENCE & POLICY
(2021)
Article
Multidisciplinary Sciences
Pablo Alejandro Millones-Gomez, Judith Soledad Yangali-Vicente, Claudia Milagros Arispe-Alburqueque, Oriana Rivera-Lozada, Kriss Melody Calla-Vasquez, Roger Damaso Calla-Poma, Margarita Fe Requena-Mendizabal, Carlos Alberto Minchon-Medina
Summary: This study evaluated the impact of research policies on the scientific production of Peruvian universities, finding that these policies did not have a significant influence on production in Scopus or Web of Science. However, management type, number of researchers, and previous scientific production did impact production.
Review
Biotechnology & Applied Microbiology
Francisco L. C. Almeida, Beatriz M. Travalia, Igor S. Goncalves, Marcus Bruno Soares Forte
Summary: The research on lipase-catalyzed biodiesel production has seen increasing publication frequency in the past three decades, with China, Brazil, and India emerging as the most productive countries. Papers from the field of bioenergy and bioprocesses receive the highest number of citations, indicating a growing interest in this area of research.
BIOFUELS BIOPRODUCTS & BIOREFINING-BIOFPR
(2021)
Article
Social Sciences, Interdisciplinary
Albertina Monteiro, Catarina Cepeda
Summary: This paper provides a state-of-the-art overview of Accounting Information Systems research by analyzing scientific production characteristics and identifying research trends. The study found that scholars focus on the impact of AIS in organizations, AIS construction, the importance of AIS implementation in small and medium-sized enterprises and the public sector, and factors contributing to AIS efficiency/quality. This research adds insights to existing literature and serves as a guide for future research and organizational strategies in the AIS context.
Article
Public, Environmental & Occupational Health
Susanne Ferschl, Maike Till, Karim Abu-Omar, Klaus Pfeifer, Peter Gelius
Summary: The research findings revealed a disconnect between the objectively assessed collaborative readiness and researchers' reported perceptions of exchange and cooperation in the early project stage. Hindering factors identified in the initial phase persisted until the final stage, despite an increase in collaboration among scientists over time. While outcomes were co-produced at the final stage, knowledge integration had not yet been achieved, showing the importance of long-term funding and coordination for effective cross-disciplinary research initiatives.
FRONTIERS IN PUBLIC HEALTH
(2021)
Article
Environmental Studies
Zeynel Abidin Polat, Mehmet Alkan, Jenny Paulsson, Jesper M. Paasch, Eftychia Kalogianni
Summary: This paper analyzes the scientific publications related to LADM from 2012 to 2020. The study identifies 175 LADM-related publications, with Land Use Policy having the highest number of published manuscripts.
Article
Health Care Sciences & Services
Clara Puig-Herreros, Jose Luis Sanz, Vicent Rosell-Clari, Luz Barona, Maria Melo
Summary: This scientometric study sheds light on the current state of research in the field of euphonic voice, showing a slight increase over the past 11 years but with a lack of temporal advancement and variety in the terminology used.
Article
Information Science & Library Science
Francisco Gonzalez-Sala, Julia Osca-Lluch, Maria Penaranda Ortega
Summary: The aim of this study is to analyze the scientific production in clinical psychology of researchers working in Spanish institutions, with a focus on gender representation. The research compiled all the published papers in the clinical psychology subcategory of the Web of Science from 1971 to 2020, totaling 3784 papers. Differences were observed in the publication of works in clinical psychology, with an initial underrepresentation of females gradually evolving into a female majority. The study also noted an increase in collaboration, with the number of authors per work rising from 1.60 in the early years to 4.77 in 2020. However, further exploration of public and scientific policies is necessary to achieve true gender balance.
REVISTA ESPANOLA DE DOCUMENTACION CIENTIFICA
(2023)
Article
Computer Science, Artificial Intelligence
Carlos H. C. Teixeira, Mayank Kakodkar, Vinicius Dias, Wagner Meira, Bruno Ribeiro
Summary: This paper introduces Ripple, an MCMC-based estimator that achieves unprecedented scalability by stratifying the Markov chain state space into ordered strata with a new technique called sequential stratified regenerations. Ripple is able to accurately estimate the sum of a bounded function over the edges of a large-scale real-world graph and performs well in estimating complex tasks with massive state space.
DATA MINING AND KNOWLEDGE DISCOVERY
(2022)
Article
Computer Science, Information Systems
Helen C. Mattos Senefonte, Myriam Regattieri Delgado, Ricardo Luders, Thiago H. Silva
Summary: This paper proposes PredicTour, an approach to process check-ins and predict mobility patterns of tourists in new countries. The approach consists of three parts: mobility modeling, profile extraction, and tourist mobility prediction. The results show that PredicTour outperforms traditional methods and can be used to predict and understand international tourists' mobility, which has an economic impact on the tourism industry.
Article
Computer Science, Interdisciplinary Applications
Felipe Viegas, Antonio Pereira, Pablo Cecilio, Elisa Tuler, Wagner Meira, Marcos Goncalves, Leonardo Rocha
Summary: This study introduces a Semantic Academic Profiler (SAP) framework that can automatically summarize articles written by researchers, build research profiles, and support online evaluations. Through offline and online evaluations, it is found that Cluwords with Bi-grams is the best solution and the SAP interface is very useful. Using both online and offline evaluations together is crucial for a comprehensive quality assessment.
Article
Public, Environmental & Occupational Health
Gabriel Urbanin, Wagner Meira, Alexandre Serpa, Danielle de Souza Costa, Leonardo Baldacara, Ana Paula da Silva, Rafaela Guatimosim, Anisio Mendes Lacerda, Eduardo Araujo Oliveira, Andre Braule, Marco Aurelio Romano-Silva, Antonio Geraldo da Silva, Leandro Malloy-Diniz, Gisele Pappa, Debora Marques Miranda
Summary: Investigated the relationship between social and working characteristics and reports of appropriate protective behavior in Brazil, finding that social determinants have a significant impact on behavior and revealing common patterns of protective behavior. Understanding context determinants helps to identify facilitators and constraints in implementing public policies.
JMIR PUBLIC HEALTH AND SURVEILLANCE
(2022)
Article
Computer Science, Software Engineering
Gabriel P. Oliveira, Ana Flavia C. Moura, Natercia A. Batista, Michele A. Brandao, Andre Hora, Mirella M. Moro
Summary: Assessing collaboration among GitHub developers through social networks, this study models three aspects: social collaboration, collaboration time in a repository, and technical features. The results indicate that the considered metrics are not correlated, providing new insights into collaboration. The information gathered is beneficial for social developer ranking.
SOFTWARE QUALITY JOURNAL
(2023)
Article
Computer Science, Information Systems
Pedro Brum, Matheus Candido Teixeira, Renato Vimieiro, Eric Araujo, Wagner Meira Jr, Gisele Lobo Pappa
Summary: The COVID-19 pandemic has sparked ongoing debates since 2019, with discussions on health aspects, public policies, and alternative treatments. These discussions, particularly on social media platforms, have led to heated debates and polarization. Using a computational method to analyze Twitter data, this study identifies users who are likely to be bots based on their COVID-19 related messages, quantifies the political polarization of the Brazilian general public during the pandemic, and analyzes the impact of bot tweets on political polarization. The study found a highly polarized population in Brazil, with a focus on government and health-related events.
SOCIAL NETWORK ANALYSIS AND MINING
(2022)
Article
Urban Studies
Daniel Silver, Thiago H. Silva
Summary: In this study, a functional model of neighbourhood change and continuity is proposed, based on a classical model by Stinchcombe in 1968. The model provides a relatively simple way to capture key aspects of the complex causal structure of neighbourhood change. Six testable propositions are formulated and empirically tested using data from Yelp.com. The approach is illustrated using the case of Toronto, with broad support for all propositions found in an analysis of six cities. The conclusion reflects on the value of incorporating functionalist models into neighbourhood research and policy.
Article
Statistics & Probability
Tulio L. Criscuolo, Renato M. Assuncao, Rosangela H. Loschi, Wagner Meira Jr, Danna Cruz-Reyes
Summary: A common problem in data analysis is dealing with categorical predictors that have a large number of levels or categories. We propose a generative model that simultaneously fits the model and aggregates the categorical levels into larger groups. By representing the categorical predictor as a graph, where nodes are categories, we establish a probability distribution over meaningful partitions of this graph. Given the observed data, we obtain a posterior distribution for the levels aggregation, allowing us to infer the most probable clustering for the categories. Additionally, we extract inference about all other regression model parameters. Comparisons with state-of-the-art methods show that our approach has equally good predictive performance and more interpretable results. Our method strikes a balance between accuracy and interpretability, which is an important concern in statistics and machine learning.
ANNALS OF APPLIED STATISTICS
(2023)
Review
Health Care Sciences & Services
Roberta Lins Goncalves, Adriana Silvina Pagano, Zilma Silveira Nogueira Reis, Ken Brackstone, Taina Costa Pereira Lopes, Sarah Almeida Cordeiro, Julia Macedo Nunes, Seth Kwaku Afagbedzi, Michael Head, Wagner Meira Jr, James Batchelor, Antonio Luiz Pinho Ribeiro
Summary: During the COVID-19 pandemic, the usability of telehealth systems in primary care for patients with noncommunicable diseases (NCDs) was evaluated. The majority of health professionals considered the usability of telehealth systems to be good, and patients expressed satisfaction using telehealth. The main challenges reported were related to technological issues, computer literacy, and lack of training.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2023)
Article
Computer Science, Interdisciplinary Applications
Edre Moreira, Wagner Meira Jr, Marcos Andre Goncalves, Alberto H. F. Laender
Summary: In this article, we investigate hyperprolific authors, who are the most productive researchers in a given repository. We focus on a subset of these authors who exhibit sudden growth in published articles and co-authors, as well as concentration in specific journals, suggesting anomalous behavior. By analyzing data from the DBLP repository over the past 10 years, we propose discriminative dimensions to characterize hyperprolific authors, helping to identify anomalous ones. Using a ranking aggregation strategy, we identify the most prominent anomalous authors and find that their behavior differs significantly from moderately ranked authors. The top-ranked authors published over 48 journal articles in 2021 and collaborated with over 1,000 co-authors, with one author publishing over 140 articles in a single journal.
Article
Computer Science, Artificial Intelligence
Cesar Rafael Lopes, Rodrigo Minetto, Myriam Regattieri Delgado, Thiago H. Silva
Summary: Visual sentiment analysis is a challenging problem in which most research focuses on visual attributes of images while paying less attention to the subjective perceptions of viewers. To address this gap, the researchers introduce PerceptSent, a novel dataset for visual sentiment analysis that includes sentiment opinions, evaluator's metadata, and perceptions of the image. They explore deep architectures and different problem formulations to combine visual and extra attributes for automatic sentiment analysis, and show evidence that evaluator's perceptions are crucial for improving analysis performance.
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING
(2023)
Review
Environmental Sciences
Mark S. Fox, Daniel Silver, Thiago Silva, Xinyi Zhang
Summary: This paper demonstrates the use of the Toronto Urban Evolution Model (TUEM) to encode city data, analyze spatial changes, and identify similar neighborhoods using Yelp reviews. It introduces a method for aggregating reviewers into groups and performs longitudinal and transversal analysis between neighborhoods within Toronto and between Toronto and Montreal.
Article
Computer Science, Information Systems
Michelle Reddy, Julio C. Nardelli, Yuri L. Pereira, Leonardo B. Oliveira, Thiago H. Silva, Marisa Vasconcelos, Mark Horowitz
Summary: Developing and middle-income countries are placing increasing importance on higher education and entrepreneurship in their long-term development strategies. This study focuses on the influence of higher education institutions (HEIs) on the startup ecosystem in Brazil, an emerging economy. Traditional data for this type of research is difficult to obtain, so the study proposes an alternative approach using computational methods to analyze social media data. The findings show that the quality of HEIs and the maturity of the ecosystem have an impact on startup success. Elite HEIs also have a powerful influence on local entrepreneur ecosystems. Surprisingly, the most prestigious HEIs in the South and Southeast regions have limited network influence beyond their local areas. This suggests that entrepreneurial investments in Brazil tend to be concentrated in wealthier cities, reinforcing regional inequalities. It is also found that the startup ecosystem in the wealthier regions is more diverse in terms of sectors, which is advantageous for economic development. This approach can be helpful in countries with limited studies on the interaction between startups and institutional factors supporting them. As a policy recommendation, more investment at the regional level is recommended to promote entrepreneurship and mitigate the limited spillover effect from wealthier regions.
SOCIAL NETWORK ANALYSIS AND MINING
(2022)
Proceedings Paper
Computer Science, Hardware & Architecture
William O. Souza, Vinicius F. S. Mota, Thiago H. Silva
Summary: Conducted a cross-cultural study on the incentive mechanism Mayorship in location-based social networks, finding that local factors play an important role and the results can help improve user engagement in different cultural contexts.
18TH ANNUAL INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING IN SENSOR SYSTEMS (DCOSS 2022)
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Clarisse Scofield, Mariana O. Silva, Luiza de Melo-Gomes, Mirella M. Moro
Summary: This study introduces a model for automatically classifying book genres by analyzing online text reviews, using a dataset compiled from online book reviews and multiple machine learning algorithms, to achieve accurate classification of book genres.
COMPUTATIONAL PROCESSING OF THE PORTUGUESE LANGUAGE, PROPOR 2022
(2022)
