bluuebunny/crossref_metadata_2025 huggingface dataset:
Tensorial Principal Component Analysis in Detecting Temporal Trajectories of Purchase Patterns in Loyalty Card Data: Retrospective Cohort Study
Authors: Autio Reija , Virta Joni , Nordhausen Klaus , Fogelholm Mikael , Erkkola Maijaliisa , Nevalainen Jaakko
Published: October 2023

Background

Loyalty card data automatically collected by retailers provide an excellent source for evaluating health-related purchase behavior of customers. The data comprise information on every grocery purchase, including expenditures on product groups and the time of purchase for each customer. Such data where customers have an expenditure value for every product group for each time can be formulated as 3D tensorial data.

Objective

This study aimed to use the modern tensorial principal component analysis (PCA) method to uncover the characteristics of health-related purchase patterns from loyalty card data. Another aim was to identify card holders with distinct purchase patterns. We also considered the interpretation, advantages, and challenges of tensorial PCA compared with standard PCA.

Methods

Loyalty card program members from the largest retailer in Finland were invited to participate in this study. Our LoCard data consist of the purchases of 7251 card holders who consented to the use of their data from the year 2016. The purchases were reclassified into 55 product groups and aggregated across 52 weeks. The data were then analyzed using tensorial PCA, allowing us to effectively reduce the time and product group-wise dimensions simultaneously. The augmentation method was used for selecting the suitable number of principal components for the analysis.

Results

Using tensorial PCA, we were able to systematically search for typical food purchasing patterns across time and product groups as well as detect different purchasing behaviors across groups of card holders. For example, we identified customers who purchased large amounts of meat products and separated them further into groups based on time profiles, that is, customers whose purchases of meat remained stable, increased, or decreased throughout the year or varied between seasons of the year.

Conclusions

Using tensorial PCA, we can effectively examine customers’ purchasing behavior in more detail than with traditional methods because it can handle time and product group dimensions simultaneously. When interpreting the results, both time and product dimensions must be considered. In further analyses, these time and product groups can be directly associated with additional consumer characteristics such as socioeconomic and demographic predictors of dietary patterns. In addition, they can be linked to external factors that impact grocery purchases such as inflation and unexpected pandemics. This enables us to identify what types of people have specific purchasing patterns, which can help in the development of ways in which consumers can be steered toward making healthier food choices.
Characteristics and Range of Reviews About Technologies for Aging in Place: Scoping Review of Reviews
Authors: Bergschöld Jenny M , Gunnes Mari , Eide Arne H , Lassemo Eva
Published: October 2023

Background

It is a contemporary and global challenge that the increasing number of older people requiring care will surpass the available caregivers. Solutions are needed to help older people maintain their health, prevent disability, and delay or avoid dependency on others. Technology can enable older people to age in place while maintaining their dignity and quality of life. Literature reviews on this topic have become important tools for researchers, practitioners, policy makers, and decision makers who need to navigate and access the extensive available evidence. Due to the large number and diversity of existing reviews, there is a need for a review of reviews that provides an overview of the range and characteristics of the evidence on technology for aging in place.

Objective

This study aimed to explore the characteristics and the range of evidence on technologies for aging in place by conducting a scoping review of reviews and presenting an evidence map that researchers, policy makers, and practitioners may use to identify gaps and reviews of interest.

Methods

The review was conducted in accordance with the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews). Literature searches were conducted in Web of Science, PubMed, and Scopus using a search string that consisted of the terms “older people” and “technology for ageing in place,” with alternate terms using Boolean operators and truncation, adapted to the rules for each database.

Results

A total of 5447 studies were screened, with 344 studies included after full-text screening. The number of reviews on this topic has increased dramatically over time, and the literature is scattered across a variety of journals. Vocabularies and approaches used to describe technology, populations, and problems are highly heterogeneous. We have identified 3 principal ways that reviews have dealt with populations, 5 strategies that the reviews draw on to conceptualize technology, and 4 principal types of problems that they have dealt with. These may be understood as methods that can inform future reviews on this topic. The relationships among populations, technologies, and problems studied in the reviews are presented in an evidence map that includes pertinent gaps.

Conclusions

Redundancies and unexploited synergies between bodies of evidence on technology for aging in place are highly likely. These results can be used to decrease this risk if they are used to inform the design of future reviews on this topic. There is a need for an examination of the current state of the art in knowledge on technology for aging in place in low- and middle-income countries, especially in Africa.
Scenario-Based e-Simulation Design for Global Health Education: Theoretical Foundation and Practical Recommendations (Preprint)
Authors: Bahattab Awsan , Caviglia Marta , Martini Daniela , Hubloue Ives , Della Corte Francesco , Ragazzoni Luca
Published: October 2023

UNSTRUCTURED

Electronic simulation (e-simulation)—particularly scenario-based e-simulation (SBES)—is an increasingly used, promising educational strategy for global health education that can address gaps in training access, effectiveness, and cost. However, there is little guidance for educators on how to develop an SBES, and guidance is lacking outside the clinical context. Moreover, literature on medical education rarely uses the theoretical basis for e-simulation design and development, including for SBES. Hence, we aim to differentiate and describe the concept, design elements, and theoretical basis of SBES with examples from different topics in global health. In addition to enhancing the understanding of the potential of SBES for global health education, this manuscript also provides practical recommendations for global health educators in designing and developing SBESs based on the existing literature and authors’ experiences. Overall, this manuscript will be useful for global health educators as well as other medical educators seeking to develop an SBES for similar skill sets.
The Importance of Basal Cell Carcinoma Risk Stratification and Potential Future Pathways (Preprint)
Authors: Paul Sharad , Knight Allanah
Published: October 2023

BACKGROUND

Basal cell carcinoma (BCC) is the most common human cancer. Although there are surgical and topical treatments available, surgery remains the mainstay of treatment, leading to higher costs. What is needed is an accurate risk assessment of BCC so that treatments can be planned in a patient-centered manner.

OBJECTIVE

In this study, we will review the literature about guidelines for the management of BCC and analyze the potential indicators of high-risk BCC. Using this risk assessment approach, we will propose pathways that will be able to optimize treatments more efficiently.

METHODS

This paper presents a perspective from a skin cancer expert and clinic involved in the treatment of both simple and complex cases of BCC. It addresses the key challenges associated with accurate risk stratification prior to any treatment or procedure. Different immunohistochemical and angiogenic markers for high-risk BCC were reviewed in this study.

RESULTS

The expression of interleukin-6, vascular endothelial growth factor, and mast cells within BCC correlates with its aggressiveness. Other immunohistochemical markers, such as Cyclin D1 and Bcl-2, also play a significant role—Cyclin D1 is higher in the aggressive BCC, while Bcl-2 is lower in the aggressive BCC, compared to the nonaggressive variants.

CONCLUSIONS

Based on our research, we will conclude that using immunohistochemical and angiogenic markers for risk assessment and stratification of BCC can help optimize treatment, ensuring that surgical procedures are used only when necessary.
Evaluating a Mobile App Supporting Evidence-based Parenting Skills: A Thematic Analysis of Parent Experience (Preprint)
Authors: Hodson Nathan , Woods Peter , Solano Juan Luque , Talbot Charlotte , Giacco Domenico
Published: October 2023

BACKGROUND

Disruptive behaviour disorders are among the most common disorders of childhood and evidence-based parenting programs are the first line treatment. Digital micro interventions have been proposed as one possible means of supporting parenting style change by giving parents in-the-moment advice about how to respond to challenging behaviour. Until now, no digital micro intervention supporting evidence-based parenting skills programs has been evaluated.

OBJECTIVE

To evaluate the subjective experience of parents using a digital micro intervention to support evidence-based parenting skills, with particular attention to acceptability, usability, family relationships, and parents’ values.

METHODS

We conducted serial interviews with 11 parents of 33 children before and after spending 3 weeks using an app including three digital micro interventions. Parents were recruited via local authorities in the Midlands region of the UK. Previous participation in a parenting program was an inclusion criteria. Interviews explored family composition, child behaviour problems, and experience of using the mobile app, including barriers to use. Thematic analysis was conducted from a user-centred design perspective and illustrative case vignettes produced.

RESULTS

Many parents used the app in ways that helped them rather than strictly following the instructions they were given. Parents described a range of barriers to using the app including practical problems and failure to change child behaviour. Parents and children responded in a variety of ways to the use of the phone, many wholeheartedly embracing the convenience of technology. Case vignettes illustrate the uniqueness of each family’s experience.

CONCLUSIONS

Parents’ use of a mobile app supporting evidence-based parenting skills is difficult to predict due to the unique challenges each family encounters. Many parents found it an acceptable and helpful addition to family life but increased personalization is likely to be key to supporting parents. Future digital microintervention developers should keep in mind that parents are likely to use the app pragmatically rather than following instructions, may struggle to use a complex app under pressure, and are likely to hold complex feelings about parenting with an app.
Acceptance of Social Media Recruitment for Clinical Studies Among Patients With Hepatitis B: Mixed Methods Study (Preprint)
Authors: Willem Theresa , Zimmermann Bettina M , Matthes Nina , Rost Michael , Buyx Alena
Published: October 2023

BACKGROUND

Social media platforms are increasingly used to recruit patients for clinical studies. Yet, patients’ attitudes regarding social media recruitment are underexplored.

OBJECTIVE

This mixed methods study aims to assess predictors of the acceptance of social media recruitment among patients with hepatitis B, a patient population that is considered particularly vulnerable in this context.

METHODS

Using a mixed methods approach, the hypotheses for our survey were developed based on a qualitative interview study with 6 patients with hepatitis B and 30 multidisciplinary experts. Thematic analysis was applied to qualitative interview analysis. For the cross-sectional survey, we additionally recruited 195 patients with hepatitis B from 3 clinical centers in Germany. Adult patients capable of judgment with a hepatitis B diagnosis who understood German and visited 1 of the 3 study centers during the data collection period were eligible to participate. Data analysis was conducted using SPSS (version 28; IBM Corp), including descriptive statistics and regression analysis.

RESULTS

On the basis of the qualitative interview analysis, we hypothesized that 6 factors were associated with acceptance of social media recruitment: using social media in the context of hepatitis B (hypothesis 1), digital literacy (hypothesis 2), interest in clinical studies (hypothesis 3), trust in nonmedical (hypothesis 4a) and medical (hypothesis 4b) information sources, perceiving the hepatitis B diagnosis as a secret (hypothesis 5a), attitudes toward data privacy in the social media context (hypothesis 5b), and perceived stigma (hypothesis 6). Regression analysis revealed that the higher the social media use for hepatitis B (hypothesis 1), the higher the interest in clinical studies (hypothesis 3), the more trust in nonmedical information sources (hypothesis 4a), and the less secrecy around a hepatitis B diagnosis (hypothesis 5a), the higher the acceptance of social media as a recruitment tool for clinical hepatitis B studies.

CONCLUSIONS

This mixed methods study provides the first quantitative insights into social media acceptance for clinical study recruitment among patients with hepatitis B. The study was limited to patients with hepatitis B in Germany but sets out to be a reference point for future studies assessing the attitudes toward and acceptance of social media recruitment for clinical studies. Such empirical inquiries can facilitate the work of researchers designing clinical studies as well as ethics review boards in balancing the risks and benefits of social media recruitment in a context-specific manner.
Similarity join over multiple time series under Dynamic Time Warping
Authors: Giao Bui Cong
Published: October 2023

Similarity join over multiple time series is an interesting task of data mining. This task aims at identifying couples of similar subsequences from multiple time series and the two subsequences might have any length and be at any position in the time series. However, the task is extremely challenging since the computational time to search for couples of similar subsequences from two time series is very large. Moreover, the task needs to normalize two subsequences before conducting a distance measure on the normalized subsequences to consider the similar degree of the original subsequences. To address the problem, this paper proposes a method of similarity join over two time series under Dynamic Time Warping (DTW), supporting z-score normalization. The proposed method utilizes both a suite of state-of-the-art techniques for computing the DTW distance and a technique of incremental z-score normalization to reduce the computational costs. The method employs multithreading to improve runtime performance. If similar subsequences from two time series may not pair up because they are too far apart, the method might use a sliding window to constrain a scope for coupling similar subsequences. The experiments on the proposed method show that the method could return similar subsequences quickly and incur no false dismissals.
Automatic identification of Dong Son antique glass artifacts using evolving learning
Authors: Ngo-Ho Anh-Khoi , Bui Hoang-Bac , Pham Van-Trieu
Published: October 2023

Regarding the Dong Son culture, given the diverse range of artifacts discovered, we propose the utilization of an artificial intelligence system for the automated and comprehensive identification of Dong Son glass jewelry through SEM gemological analysis. This approach, which has gained prominence in the field of archaeology worldwide over the past five years, aims to integrate advanced technology into Vietnamese archaeology. Our research is motivated by the unique conditions present in archaeology, where we seek to employ evolving learning algorithms to archaeological databases, comparing and selecting the most suitable model that aligns with the archeological dataset's performance. We have developed the Recognition Automatic System for Dong Son Antique Glasses (RAS-DSA), capable of accurately distinguishing between Dong Son and non-Dong Son glass ornaments, and is freely distributed to experts and archaeologists. This collaborative research involves Nam Can Tho University, Hanoi University of Mining and Geology, the Vietnamese Institute of Archaeology, and the UNESCO Center for Research and Conservation of Vietnamese Antiquities.
Detecting Vietnamese fake news
Authors: Vo Duc Vinh , Do Phuc
Published: October 2023

This paper focuses on constructing a dataset consisting of both fake news and factual news in the Vietnamese language. We employ Deep Learning models, namely Long Short-Term Memory, bidirectional Long Short-Term Memory, and Convolutional Neural Network - bidirectional Long Short-Term Memory, to identify Vietnamese fake news. The performance evaluation of the models includes assessing the prediction ratio Area Under The Curve of each model and providing insights into their computational efficiency. Additionally, these three models evaluate the contribution of deep learning techniques for fake news detection and emphasize the potential for exploring interconnections between neural networks in addressing automatic Vietnamese fake news detection.
Factorizing social advanced aspects in modern life on human health
Authors: Nguyen Phan Yen Ngan , Dinh Hai Dung , Tran Hong Ngoc
Published: October 2023

The emergence of technology has brought about a dramatic shift in different aspects of life, especially the aspect of societal advancement. As people adapt to such transformation, it is undoubted that their lifestyles adapt as well. However, whether such changes oppose the well-being of an individual and whether there is a relationship between daily habits and health condition is an interesting topic that this research is going to focus on. Meanwhile, the benefits of implementing data analysis have been proven regarding understanding statistical problems. On such account, this work is going to use the powerful method of data analysis into investigating the relationship between lifestyle and health conditions, with the practice of big data sets deploying R programming language. The procedure from gathering to interpreting data is going to be introduced, and the result is then placed in comparison with related existing studies. By doing so, it has shown that the result has reflected accurately the topics and thus, given evidence for the potential of analyzing the connection between habitual practice and health status.
Thử nghiệm đực hóa cá thần tiên (Pterophyllum scalare) bằng phương pháp ngâm Spironolacton
Authors: Lê Thế Lương , Đinh Thế Nhân , Diệp Nhựt Thái
Published: October 2023

Nghiên cứu được thực hiện bằng cách ngâm đàn cá thần tiên con giai đoạn 7 ngày tuổi sau khi nở trong dung dịch có chứa Spironolacton (SP) với các liều lượng khác nhau. Cá con được ngâm riêng trong các túi polyethylen với thể tích 100 mL nước cho 100 cá con có pha sẵn SP với hàm lượng 0 mg/L, 5 mg/L, 10 mg/L và 15 mg/L, túi được bơm oxy tươi và giữ trong vòng 2 giờ, sau đó cá con được cho vào các bể và nuôi riêng. Sau khi cá đạt 90 ngày tuổi, xác định giới tính cá dựa vào hình thái bên ngoài và mổ cá, quan sát cơ quan sinh dục. Hiệu suất đực hóa cao nhất ở liều 15mg/L với 86,59 ± 2,1%, thấp nhất ở liều 5 mg/L với 74,12 ± 1,9%, sự khác biệt này có ý nghĩa về mặt thống kê (p<0,05). Tỉ lệ sống đạt cao nhất ở liều ngâm 15 mg/L với 99,30 ± 1,5% và thấp nhất ở liều ngâm 10 mg/L với 98,50 ± 1,5 %, tuy nhiên, sự khác biệt này không có ý nghĩa về mặt thống kê (p<0,05).
Efficacy of Hypnotic Guided Imagery (HGI) Towards People with Depression
Authors: Muthiah Karthik A/L , Yuniarti Kwartarini Wahyu
Published: October 2023

It is well known that people with depressive illnesses are not very satisfied with their lives. There is a need to reduce depression’s symptoms in such ways so that the burden can be reduced. An intervention called Hypnotic Guided Imagery (HGI) was purposed to address this problem. Previously, HGI has been proven to be effective as a therapy to decrease depressive symptoms towards people with depression. The purpose of this study is to evaluate the efficacy of HGI in virtual setting as a psychotherapy substitute for individuals with depressive disorders. This study employs an experimental methodology and a control group with a pretest-posttest design. Participants included up to 10 Indonesians that suffers from depression that was diagnosed earlier by doctors. They were split into intervention and control groups and the PANAS-X and PHQ-9 were given to the participants before and after intervention as an instrument to test the efficacy of HGI. Hypothetically, HGI has the capability to decrease depressive symptoms among people with depression. Proven, HGI has an effect on both the reduction of some unpleasant emotions and the enhancement of other positive ones. This promising finding leads to the conviction suggesting HGI has many more to offer.
Loser Psychology and Depression
Authors: Mous Anony
Published: October 2023

Being a loser can cause emotional pain and fear of other people given the stigma attached to it. Avoiding the depression of all this will make you hide away at home as well as driving you to succeed in life both materially and intellectually. Giving up the loser psychology up will create more fear and pain as well as destroying your intellect, a prospect which, for the loser, is absolutely terrifying. Meeting partners and friends may be a further difficulty but may also help with dealing with the stigma when hiding away. This article will look at these and other problems that living life as a loser can cause and how it might be possible to work round them to avoid the suffering that losers experience. It will begin with my own experiences first.
Assessment of the Comfort Gradient in Leaning Posture among Elderly Individuals
Authors: Xu Ping
Published: October 2023

This study aims to investigate the comfort gradient associated with leaning posture in elderly individuals. The assessment of comfort gradient is crucial in understanding the ergonomic needs of this population, as it directly impacts their overall well-being and quality of life. By examining the various factors influencing comfort levels during leaning postures, this research seeks to provide valuable insights for designing supportive and comfortable environments for elderly individuals. The findings of this study will contribute to the existing body of knowledge on ergonomics and assist in the development of interventions to enhance the comfort and safety of elderly individuals in various settings.
Política y mundo universitario: algunos datos sobre la cultura política del alumnado en la Universidad de Cantabria (España)
Authors: García Lastra Marta
Published: October 2023

El artículo pretende realizar un recorrido por la cultura política de un grupo de estudiantes universitarios españoles (en concreto, los matriculados en la Universidad de Cantabria). Se descubren los rasgos generales de su cultura política, la influencia que sobre éstos pueden tener determinadas circunstancias como el género, la edad, la posición política o el hecho de estudiar en uno u otro centro de la universidad y, por último, se elabora una tipología de estudiantes según las pautas políticas mantenidas. Los datos analizados provienen de dos fuentes: por un lado, una encuesta aplicada a una muestra representativa de estudiantes y por otro, entrevistas en profundidad realizadas a los mismos. A lo largo del trabajo se tiende a la combinación de ambas metodologías.
Una mirada a las primeras reglamentaciones de automóviles de Ciudad de México (1903) y Santiago de Chile (1908)
Authors: Rodríguez Herrejón Guillermo Fernando
Published: October 2023

Desde finales del siglo XIX e inicios del siglo XX los automóviles se convirtieron en verdaderos signos de modernidad alrededor del mundo, al representar imaginarios de adelanto tecnológico y al constituirse en la forma de movilidad urbana por excelencia, en un proceso que remplazó a la movilidad animal, de vapor y eléctrica en favor de la mecanizada por medio de combustión. Este trabajo tiene como finalidad reflexionar sobre el uso de las primeras reglamentaciones automovilísticas en dos ciudades Latinoamericanas, Ciudad de México y Santiago de Chile, para ayudar a entender cómo fue el proceso de caracterización de esos aparatos como signos de modernidad, y esto se hará por medio de observar el contenido discursivo de esas normativas, que pintaban a los aparatos como medios de adelanto tecnológico, de civilidad y de urbanidad, que necesitaban ser controlados para garantizar sus usos correctos y evitar sus peligros. Concretamente se observarán los contenidos de las reglamentaciones de 1903 (México) y 1908 (Chile), para realizar un ejercicio de contraste, al centrarse en puntos en común y en diferencias en cuanto a cómo se buscaba controlar a esos novedosos artefactos al momento de su introducción en esas ciudades.
Study and Analysis of Smartly Reduce Accident Rate for Pedestrian
Authors: Wankhade V. M. , Thakare H. D. , Jaware H. M. , Jadhav B. V. , Waghade Y. A.
Published: October 2023

Abstract: In an urban area mostly at the intersection of the road we observe more accident take place and mainly involve pedestrian due to heavy traffic congestion, cannot follow traffic rules properly, rash driving and skip traffic signal and by the mistake of pedestrian . Hence, we try to overcome all these problems by applying one new technology “smartly reduced accident rate for pedestrian” it is work when red light is flashes barrier is open and do motor start zebra crossing turnto smart zebra crossing as an elevator & when green light is flashes DC motor turn off & barrier are close & open for vehicles
Application of Fuzzy Logic Control in Iron Box Temperature Regulation
Authors: Sahu Sandeep , Simha J. B.
Published: October 2023

Abstract: This work investigates the use of fuzzy logic control in the context of temperature regulation in an iron box. Instead of the usual Boolean logic employed in computers, fuzzy logic is a computer-based approach of degree determination that gives the truth. Rather than adopting typical methods that put the problem into a black box model, this assists the problem solver in approaching the challenge in a way that they can explain and comprehend. The study explains how fuzzy logic can be used to manage an iron box's heating element based on input variables such as wrinkle severity and water level. To control the heat level of the iron, the system defines membership functions, rules, and other defuzzification mechanisms. This system's output can be used to effectively manage the heating element of the iron, providing a more intelligent and responsive operation. Through modelling and testing, we evaluate the effectiveness of our fuzzy logic control system in achieving accurate and dependable heating level outputs.
Aspectos do ciclo de vida de dados em processos de construção de ontologias biomédicas
Authors: Emygdio Jeanne Louize , Felipe Eduardo Ribeiro
Published: October 2023

Tendo por foco o estudo das coisas existentes no mundo e das relações que estas estabelecem entre si, as Ontologias vêm ganhando campo especial de investigação científica por serem consideradas alternativas viáveis à organização das informações massivas e ininterruptamente alimentadas pelos seres humanos nos espaços digitais, por meio das tecnologias da informação e comunicação (TICs). As perspectivas centrais da utilização das ontologias repousam sobre as possibilidades de prover interoperabilidade semântica entre os sistemas de informação, pouco alcançada por meio dos modelos, técnicas e ferramentais usualmente aplicados. O objetivo deste artigo é descrever de que forma a gestão do ciclo de vida dos dados pode contribuir para prover maior qualidade à construção de ontologias biomédicas. A metodologia adotada foi a pesquisa qualitativa, de caráter descritivo, sobre os processos de construção da Ontologia realista Obstétrica e Neonatal - OntoNEO. Os resultados encontrados comprovaram eficiência do plano de gestão de dados como requisito de atribuição de qualidade à referida ontologia, o que a habilitou a integrar o projeto Basic Formal Ontology - BFO, padrão de referência na construção de ontologias realistas de alto nível.

Artigo apresentado no II Workshop de Informação, Dados e Tecnologia, realizado nos dias 27 a 29 de novembro de 2018, na cidade de João Pessoa (PB), nas dependências da Universidade Federal da Paraíba (UFPB). Disponível originalmente em: https://dadosabertos.info/enhanced_publications/idt/. Acesso em: 25 set. 2023.

Detentor do Copyright
VI Workshop de Informação, Dados e Tecnologia - WIDaT 2023
Metas, ações e indicadores como subsídios para análise da qualidade de dados: uma inversão necessária entre consequentes e antecedentes
Authors: Moura Jr Pedro Jácome de , Aragão Maicon Henrique Ferreira
Published: October 2023

Assume-se que dados compõem os insumos fundamentais para a compreensão e transformação da realidade organi- zacional e, por conseguinte, a qualidade dos dados deve ser considerada para determinar em que medida esses dados podem ser usados para suporte a decisões. O objetivo deste estudo (em andamento) é identificar os níveis de qualidade dos dados contidos nos repositórios institucionais da Universidade Federal da Paraíba (UFPB) para suporte à mensura- ção dos indicadores de desempenho institucionais, realizando, para tanto, uma análise sobre o Plano de Desenvolvi- mento Institucional (PDI) da UFPB. Os achados demonstram que apenas 11% das metas possuem definição de indica- dores para seu monitoramento, o que enseja considerações acerca da compreensão e aplicação dos conceitos de ges- tão e de governança por parte da instituição analisada e sugerem uma mudança na estratégia de coleta de dados para as etapas seguintes.

Artigo apresentado no II Workshop de Informação, Dados e Tecnologia, realizado nos dias 27 a 29 de novembro de 2018, na cidade de João Pessoa (PB), nas dependências da Universidade Federal da Paraíba (UFPB). Disponível originalmente em: https://dadosabertos.info/enhanced_publications/idt/. Acesso em: 25 set. 2023.

Detentor do Copyright
VI Workshop de Informação, Dados e Tecnologia - WIDaT 2023
Métodos multicritérios para auxiliar o processo de tomada de decisão sobre empreendimentos imobiliários utilizando modelos BIM
Authors: Soares Bruno Cesarino , Bonatti Rogério Amaral , Baracho Renata Maria Abrantes
Published: October 2023

O presente trabalho apresenta a utilização de informações obtidas em modelos de informações da construção (Building information Modeling – BIM) e a avaliação de empreendimentos imobiliários, em uma estrutura multicritérios. As informações sobre os possíveis projetos de construção, reforma, ampliação, aquisição, ou aluguel de edificações são utilizadas para viabilizar um processo de tomada de decisão. Os modelos funcionam como uma base para a representação digital de dados ou informações de uma construção e trazem diversas possibilidades de análise. Assim, a análise multicritério classifica os empreendimentos imobiliários representados como modelos BIM. A hierarquização do problema envolve as relações entre metas, critérios que expressam metas e alternativas. A análise comparativa entre os critérios considerados e a interação com os elementos que compõem os modelos de projetos de construção proporcionou a execução prática de um problema que interliga dados de ambientes distintos com um método de análise multicritérios. A avaliação de viabilidade do processo construtivo reforça a necessidade de expansão da metodologia e da amostra, para se definir os elementos que compõem a tomada de decisão no setor de empreendimentos imobiliários.

Artigo apresentado no II Workshop de Informação, Dados e Tecnologia, realizado nos dias 27 a 29 de novembro de 2018, na cidade de João Pessoa (PB), nas dependências da Universidade Federal da Paraíba (UFPB). Disponível originalmente em: https://dadosabertos.info/enhanced_publications/idt/. Acesso em: 25 set. 2023.

Detentor do Copyright
VI Workshop de Informação, Dados e Tecnologia - WIDaT 2023
Padrões de metadados para descrição de dados: panorama dos repositórios de dados na América Latina
Authors: Arakaki Felipe Augusto , Simionato Ana Carolina , Gonçalez Paula Regina Ventura Amorim , Santos Plácida Leopoldina Ventura Amorim da Costa
Published: October 2023

Os repositórios de dados de pesquisa são ambientes que oportunizam aos dados, produtos de pesquisa, serem acessados, compartilhados, utilizados e reusados, visto que, tais ambientes possibilitam a organização, o armazenamento e o acesso aos dados em diferentes formatos. A preocupação com a representação e recuperação dos conjuntos de dados é recorrente entre profissionais que tem a informação como objeto de trabalho e pesquisa. Assim, questiona-se quais são os padrões de metadados utilizados na representação dos dados científicos disponibilizados nos repositórios de dados na América Latina? Nesse contexto, o trabalho possui como objetivo analisar a formalização dos padrões de metadados utilizados para a descrição do conjunto de dados de pesquisa no âmbito dos repositórios de dados da América Latina registrados no Registry of Research Data Repositories (re3data). A pesquisa é de natureza teórico aplicada, com uma abordagem qualitativa no que se refere a representação da informação nos repositórios digitais de dados, para tanto optou-se pela pesquisa exploratória. Como resultado foi feito o mapeamento dos metadados dos 29 repositórios de dados científicos identificados no re3data. Ressalta-se que o reconhecimento para dados científicos e seu compartilhamento tem potencializado a criação de novas plataformas, softwares de gerenciamento e diferentes possibilidades para a descrição dos conjuntos de dados.

Artigo apresentado no II Workshop de Informação, Dados e Tecnologia, realizado nos dias 27 a 29 de novembro de 2018, na cidade de João Pessoa (PB), nas dependências da Universidade Federal da Paraíba (UFPB). Disponível originalmente em: https://dadosabertos.info/enhanced_publications/idt/. Acesso em: 25 set. 2023.

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VI Workshop de Informação, Dados e Tecnologia - WIDaT 2023
Padrões de metadados para descrição de dados: panorama dos repositórios de dados na América Latina
Authors: Anjos Renata Lemos dos , Autran Marynice de Medeiros Matos
Published: October 2023

Desde 1665, a comunicação científica continua prioritariamente direcionada à publicação dos resultados em periódicos científicos. Esses resultados provêm de análises realizadas em nas investigações científicas por meio dos dados que são coletados para a pesquisa, ou gerados com a pesquisa. Com o desenvolvimento das Tecnologias Digitais de Informação e Comunicação, a comunicação científica passou por várias transformações. Atualmente, depara-se com um novo paradigma: a do compartilhamento de dados. A presente pesquisa exploratória e documental, investigou se os periódicos da área de Ciência da Informação possuem uma política de compartilhamento de dados científicos. Foram selecionados periódicos com o CiteScore maior ou igual a 0.50. Dos quinze periódicos analisados, 53% apresentam políticas e diretrizes para o compartilhamento de dados, seja de forma obrigatória ou flexível. Concluiu-se que a prática do compartilhamento de dados por parte dos periódicos em Ciência da Informação, encontra-se nos seus em fase inicial e apresenta perspectivas de breve consolidação.

Artigo apresentado no II Workshop de Informação, Dados e Tecnologia, realizado nos dias 27 a 29 de novembro de 2018, na cidade de João Pessoa (PB), nas dependências da Universidade Federal da Paraíba (UFPB). Disponível originalmente em: https://dadosabertos.info/enhanced_publications/idt/. Acesso em: 25 set. 2023.

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VI Workshop de Informação, Dados e Tecnologia - WIDaT 2023
Pornografia infantil: análise de manuais de pedofilia
Authors: Morreira Marcelo da Silva , Muriel-Torrado Enrique
Published: October 2023

A transformação da sociedade, associada ao desenvolvimento tecnológico e da comunicação, provocou grandes mudanças nas inter-relações sociais. Novos paradigmas, como a Sociedade da Informação, surgiram com a universalização do acesso à informação e da propagação crescente do fluxo de dados, contudo a criminalidade não está alheia ao fenômeno das transformações da sociedade. O surgimento da Internet facilitou que criminosos pudessem propagar práticas ilícitas mais facilmente. Crimes relacionados à violência sexual de crianças e adolescentes ganharam um potencial lesivo muito maior com o advento da rede mundial de computadores, pois pedófilos passaram a compartilhar na Deep Web manuais e guias para ensinar práticas e técnicas de violência sexual infantil. Nesse contexto, a presente pesquisa tenta produzir um conjunto de diretrizes e princípios de prevenção do crime de Pornografia Infantil, através da análise de manuais de pedofilia disponibilizados na Deep Web. Esta pesquisa caracteriza-se como exploratória e qualitativa, sendo explorada através da análise e categorização de manuais de pedofilia; das percepções de policiais no enfrentamento ao problema; e, das percepções de profissionais da área psicossocial no acolhimento das vítimas. Dessa forma, busca-se fornecer um rol de diretrizes de prevenção que possam subsidiar ações de Estado na promoção de políticas públicas de combate à Pornografia Infantil.

Artigo apresentado no II Workshop de Informação, Dados e Tecnologia, realizado nos dias 27 a 29 de novembro de 2018, na cidade de João Pessoa (PB), nas dependências da Universidade Federal da Paraíba (UFPB). Disponível originalmente em: https://dadosabertos.info/enhanced_publications/idt/. Acesso em: 25 set. 2023.

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VI Workshop de Informação, Dados e Tecnologia - WIDaT 2023
Previsões de ausência em cuidados especializados em unidades de saúde pública de Florianópolis
Authors: Teixeira Milena , Garcia Leandro Pereira , Ramos Ingo , Pedebôs Lucas Alexandre , Macedo Douglas , Araujo Gustavo Medeiros de
Published: October 2023

O absenteísmo em serviços de atendimento de saúde de média e alta complexidade do Sistema Único de Saúde está associado ao desperdício e ineficiência, uma vez que estes procedimento envolvem grande densidade tecnológica. Nesse sentido, esse estudo busca desenvolver um modelo que possa identificar pacientes com grande probabilidade de falta em consultas especializadas, como base em aprendizagem de máquina. Para realização dessa pesquisa foram usados, como estudo-piloto, dados de atendimentos nos Centros de Especialidades Odontológicas da Secretaria Municipal de Saúde de Florianópolis entre os anos de 2016 a junho de 2018.

Artigo apresentado no II Workshop de Informação, Dados e Tecnologia, realizado nos dias 27 a 29 de novembro de 2018, na cidade de João Pessoa (PB), nas dependências da Universidade Federal da Paraíba (UFPB). Disponível originalmente em: https://dadosabertos.info/enhanced_publications/idt/. Acesso em: 25 set. 2023.

Detentor do Copyright
VI Workshop de Informação, Dados e Tecnologia - WIDaT 2023
The Making of the Liveable City; the Overlooked Aspects of Smart Cities Design
Authors: Hatem Faten Mostafa
Published: October 2023

This article examines the real potential of smart cities to offer a
better experience to residents as people with more than just basic
needs. This is done through a lens of design, urban encounters and
on-site sensations. The topic is presented and discussed in four main
themes; Facilitating the Making of Livable City and Quality Experience,
Mental Associations of the City, The Unique Intimacy of the Night
Experience, Emotional Responses: Safety, Stress and Discomfort, and the
Taste of the City: Character, Wayfinding and Monotony. This is done to
facilitate analysis and communication. Nevertheless, the topics
presented here should not be separated from one another. Various
qualitative methods were used in the analysis of the Milton Keynes case
study. This includes interviews, field observations and visual
comparisons with other cases, allowing for a deeper understanding of the
different capabilities of the different approaches. The results help to
further fill the knowledge gap in the literature on the overlooked
aspects of smart cities and provide better information for smart city
design.
FACTORS ASSOCIATED WITH THE CHOICE FOR OBSTETRIC DELIVERY AMONG PREGNANT WOMEN IN IKENNE LOCAL GOVERNMENT
Authors: Adebayo Temitayo Zaynab
Published: October 2023

Objectives Maternal and Child Health Outcomes have been
considered a serious global concern in recent times, especially for low
to middle-income countries like Nigeria. The aim of the study was to
identify factors associated with the choice of obstetric delivery among
pregnant women in a local community of Ikenne LG, Nigeria.
Design The study used a validated 32-item questionnaire to
gather demographic information, knowledge about obstetric care, and
participants’ experiences. It involved 200 pregnant women from Ikenne LG
and collected data through an Interviewer-Administered method.
Setting A health education sensitization program and
administration of questionnaires were conducted at the health
facilities. Population or Sample Methods Pregnant women in
Ikenne local government, Ogun state, Nigeria, are surveyed on
demographic characteristics, pregnancy outcomes, personal risk choice,
knowledge of OB delivery services, and obstetric history. Main
outcome They are classified into two independent variables and
dependent variables. Measures The researcher reviewed and
edited questionnaires, with a trained assistant available for
completeness. The SPSS Package was used for data analysis.
Results The study revealed that 73% of participants had their
last deliveries in a hospital, with factors like previous deliveries,
recommendations, government approval, and proximity influencing
birthplace choices. Conclusions In conclusion, factors
associated with the choice of delivery facilities included knowledge,
recommendation, proximity, and perception of risk involved.
The effects of planting date on maize growth and development using unmanned aerial vehicle data
Authors: Creux Nicky M. , Mathibela Ofentse , Maes Wouter H. , Nsibo David L. , Swanevelder Dirk Z. H.
Published: October 2023

Early detection of plant stress is important, particularly in the face
of unpredictable climates. Conventional methods of phenotyping, while
useful, lack the ability to provide non-destructive early plant stress
detection, a capability provided by remote sensing technologies. The aim
of this study was to determine the effect of planting date on various
commercial maize hybrid growth and development, focusing on changes in
spectral reflectance and vegetation indices related to plant health. An
experimental study was set up in Pretoria, South Africa, encompassed
planting dates spanning from November 2022 (Early) over December 2022
(Optimum) and January 2023 (Late) to February (Very late). Weekly UAV
(unmanned aerial vehicle) flights starting four weeks after planting
were conducted with the DJI M210 carrying the Micasense Altum
multispectral sensor. Preliminary findings identified a higher spectral
reflectance of maize, in the visual, red-edge, and near-infrared bands
at optimum planting date as compared to the earlier and later planting.
These shifts in spectral reflectance were also reflected in increased
values of the Simple Ratio Index (SI), Green Ratio Vegetation Index
(GRVI), and Normalized Pigment Chlorophyll Index (NPCI) in the earlier
planting dates, when contrasted with the later planting dates. The
findings confirm that planting date impacts maize health, and that this
can be detected through remote sensing methods. This research
demonstrates that UAV technology is a feasible alternative to fixed
plant phenotyping platforms, especially in the African context where
infrastructure stability remains a major challenge.
Identifying Genetic Markers Associated with Plant Resilience Phenotypes in Maize
Authors: Muir Sydnie , Colletes Humberto Mastrocola , Ozel Mehmet Sarp , Thompson Addie
Published: October 2023

Corn is a cornerstone of the global food supply, but its vulnerability
to unpredictable weather patterns, exacerbated by climate change, poses
significant challenges to its consistent production. This study aims to
enhance maize breeding efforts by identifying genetic markers associated
with plant resilience, including the factors of growth rates, stress
resistance, disease resistance, overall productivity, and variation in
weather. Leveraging previous years of genetic, phenotypic, and drone
imagery data from the maize Genomes to Fields project, we conducted a
genetic analysis utilizing location-year datasets with varying disease
presence, environmental stressors, and weather conditions. The focus was
primarily on the anthesis-silking interval (ASI), an essential metric in
drought resistance. Machine learning techniques were employed for
efficient large-scale data analysis, hypothesis testing, and result
interpretation. The outcomes of this research hold immense value for
farmers grappling with seasonal droughts and extreme heat. Cultivating
crops with a history of weather resilience can serve as a predictive
tool, mitigating supply chain disruptions and food shortages, ultimately
stabilizing food prices.
Predicting physiological traits of rice from hyperspectral data under CO2 and drought treatments
Authors: Ting To-Chia , Park Sylvia , Couture John J. , Wang Diane R.
Published: October 2023

Using hyperspectral technology for high-throughput plant phenotyping is
a potentially useful method in crop sciences. To examine its
effectiveness, we collected leaf-level hyperspectral and
ground-reference data from rice plants grown in controlled-environments
under drought and CO treatments at Ag Alumni Seed
Phenotyping Facility at Purdue University. By applying RReliefF, we
found that short-wave infrared region (SWIR) was important for leaf
water potential (LWP), near-infrared region was linked with specific
leaf area (SLA) and both red-edge and SWIR regions were related to gas
exchange traits (net assimilation [A], stomatal
conductance to water vapor [gsw] and transpiration
[E]). Based on those results, we found that LWP
and SLA were moderately predictable and gas exchange traits were
predictable (R ≥ 0.60 and root mean
squared error of prediction for A, gsw and
Ewere
7.706 μmolms,
0.282 molms, and 3.906
mmolms in validation datasets,
respectively) by using partial least squares regression. Furthermore,
treatment effect on A from cross-validation predictions
agreed with ground-reference data. In contrast, photosynthetic
parameters (V and J) could not be
estimated from hyperspectral data. Hyperspectral data can provide
potential insights about plant growth and water status. When the effect
of treatments is pronounced, model predictions are consistent with
ground-reference data.