bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparative analysis of ensemble learning algorithms in water quality prediction
Authors: Shah Farman Ullah , Khan Afed Ullah , Khan Abdul Waris , Ullah Basir , Khan Muhammad Rashid , Javed Ihrar 
Published: December 2024

ABSTRACT
Water is essential for all life forms but is increasingly at risk of contamination. Monitoring water quality is crucial to protect ecosystems and public health. This study evaluates ensemble learning techniques – AdaBoost, Gradient Boost, XGBoost, CatBoost, and LightGBM – for predicting key water quality parameters in the Bara River Basin, Pakistan. Initially, a random forest model identified optimal input-target parameter combinations. Machine learning models were then developed and evaluated using R2, MSE, and MAE, with the best models selected via compromise programming. Results show XGBoost and Gradient Boost outperformed other methods. XGBoost achieved near-perfect R2 values for bicarbonate (HCO3), carbonate (CO3), and magnesium (Mg), while Gradient Boost excelled with parameters like electrical conductivity (EC), sulfate (SO4), temperature, and calcium (Ca). XGBoost demonstrated high training R2 values (0.999) but slightly lower testing R2 (e.g., 0.8636 for HCO3). Gradient Boost exhibited greater stability, maintaining high accuracy in both phases (e.g., Ca testing R2 = 0.9433). AdaBoost and CatBoost showed moderate performance for parameters like chloride (Cl) and pH, while CatBoost and LightGBM performed well for pH and dissolved solids but varied across other indicators. These findings underscore the potential of ensemble methods for accurate water quality prediction, aiding future management and environmental protection efforts.
A hybrid dynamic graph neural network framework for real-time anomaly detection
Authors: Moraitis Georgios , Makropoulos Christos 
Published: December 2024

ABSTRACT
The timely and robust detection of anomalies is essential for resilient and secure operations of critical water infrastructures against operational faults or malicious actions. However, real-world systems exhibit diverse and evolving spatiotemporal relationships among their components, posing an intricate challenge in anomaly detection. This study proposes a Hybrid Dynamic graph neural network that jointly maps long- and short-term spatiotemporal relationships in multivariate data streams. Those relationships are encoded via a hybrid graph, comprising an optimally learned static subgraph for persistent relationships and a complementary dynamic subgraph for dynamically shifting relationships. Additionally, an attention mechanism captures time-varying relational importances and shifts the model's focus towards significant relationships, while minimising contributions of less importance to the final outputs. The proposed architecture is showcased through a synthetic case study of a water distribution system with multivariate data streams from both on-site and soft sensors, and shows strong detection and localisation accuracy against all scenarios of operational faults and malicious actions explored. A comparative analysis with an equivalent static graph model indicates that the addition of the hybrid dynamic component enhances detection accuracy and reduces false alarm rates through more robust characterisation of behaviours, thus allowing actionable insights for more resilient and secure operations.
FÓRUM DIREITO À CIDADE E A EXTENSÃO UNIVERSITÁRIA:
Authors: De Andrade e Andrade Sarah , Silva Rodrigo , Carvalho Guimarães Leôncio Érica Milena , Bezerra Brasil Amíria 
Published: December 2024

O relato de experiência desenvolvido, recupera as principais atividades desenvolvidas pelo Fórum Direito à Cidade enquanto projeto de extensão universitária, no ano de 2022. Dedicado à construção e consolidação de um espaço de articulação e debate técnico-popular sobre as questões urbanas e territoriais de Natal e sua Região Metropolitana, enfatizamos aqui, no entanto, as ações formativas que iluminam as possibilidades de tecer práticas alternativas de planejamento urbano. Enfocamos pontualmente os desdobramentos já evidentes do último processo de revisão do Plano Diretor de Natal -, gerando conflitos ao redor da regularização fundiária de territórios populares na orla de Natal, e nos debruçamos demoradamente sobre a construção do Curso de Formação de Ativistas e sobre a participação na Conferência Popular pelo Direito à Cidade. As atividades nos permitiram experimentar a construção coletiva de novos saberes, novas práticas e novas teorias, gestadas a partir da troca de experiências entre a comunidade acadêmica e não acadêmica, convergindo para o entendimento da educação popular como estratégia de enfrentamento aos retrocessos e desmonte das políticas públicas populares, fruto do aprofundamento de um modelo de sociedade e de cidade excludentes, que perpetuam e aprofundam as perversas consequências do racismo, do capitalismo e do patriarcado.
Agreement between Two Biometers for Central Corneal Thickness Measurement in High Myopia Patients
Authors: Budiman Budiman , Tjokrovonco Ludwig Melino , Knoch Andrew M. H. , Sugiarti Emmy Dwi 
Published: December 2024

Background
In refractive surgery, the measurement of Central Corneal Thickness (CCT) is a critical factor in the preparation and screening of surgery to correct myopia. CCT measurements can be measured by optical biometers, including the Scheimpflug camera and Swept-source Optical Coherence Tomography (SS-OCT).

Aim
This study aimed to compare the Central Corneal Thickness (CCT) measurements made with Swept-source Optical Coherence Tomography (SS-OCT)-based biometers and the Scheimpflug camera in patients with high myopia.

Methods
An analytical cross-sectional study was performed to evaluate the agreement between Central Corneal Thickness (CCT) values obtained using Swept-source Optical Coherence Tomography (SS-OCT) and the Scheimpflug camera. We included a total of 28 individuals with high myopia, including 44 eyes, for our study. These patients underwent Central Corneal Thickness (CCT) tests using both Swept-source Optical Coherence Tomography (SS-OCT) and the Scheimpflug camera. The Bland-Altman test was used to assess the agreement between the two devices.

Results
Forty-four eyes with axial lengths ranging from 26.05 to 34.02 mm based on SS-OCT examinations were included in this study. The mean CCT was 527.59 ± 35.710 (p <0.05) μm and 525.64 ± 35.421 μm (p <0.05), based on SS-OCT and the Scheimpflug camera, respectively. The Bland-Altman plot revealed good agreement between both devices, with a mean difference of 2.3409 μm; however, a 95% limit of agreement demonstrated a wide range, ranging from -8.48509 to 12.39400 μm at a 95% confidence interval.

Conclusion
CCT measurements using SS-OCT and the Scheimpflug camera differed significantly among patients with high myopia. Our findings have suggested that CCT measurements made with either device should be interpreted with caution and not be used interchangeably.
Novel Application of Alumina Nanoparticle-enriched Cutting Fluid for the Surface Integrity and Machining of 17-4PH Steel
Authors: John Vivek , Aggarwal Saurabh , Oza Ankit D. , Kumar Manoj , Jain Prince 
Published: December 2024

Introduction:
Stainless steel 17-4 PH is said to be a challenging material to cut due to
its limited thermal conductivity. Early tool failure and inadequate surface finishing were observed
because excessive cutting temperatures have a negative impact on productivity when machining
17-4 PH steel.

Method:
Therefore, the present study explored the viability of alumina-reinforced ricebran oil
(Al2O3 (80 nm)) nanoparticles with ricebran oil and divyol oil as lubricants. A diverse volume fraction
of alumina was mixed with 5 vol. % rice bran oil ordivyol oil. Subsequently, twenty-seven
turning operations were performed on the 17-4PH material in the optimal lubricating medium.
When Al2O3 nanoparticles are added to rice bran oil, there is an 18.22% improvement in surface
roughness.

Results:
The particle volumetric range that the authors chose was 0.25 vol.% to 1.25 vol.% to
achieve equilibrium between the benefits of higher heat conductivity and the reduced pumping
power resulting from high viscosity.The machining values were statistically analyzed via analysis
of variance. In addition, response surface methodology (RSM) was employed to develop a mathematical
equation linking the input and machining responses.

Conclusion:
A comparison of the two analyzed fluid systems revealed that the cutting force (Fz),
feed force (Fx), thrust force (Fy), and surface roughness (Ra) of the Al2O3 mixed Rice Bran Oil
cutting fluid were considerably lower than those of the other methods (8.89%, 4.659%, 9.1416%,
and 18.22%, respectively).
A Multicomponent Eye Cream Helps Alleviate Signs of Aging in Indian Women: A Single Center, Non-Randomized Clinical Study
Authors: Gholap Anjali , Rastogi Rachna 
Published: December 2024

Introduction:
The area around the eye shows the first signs of fatigue and aging. The use of suitable topical treatments can help manage the periorbital area. In this study, the efficacy of a multicomponent cream in improving the aesthetics around the eye area was ex-amined in 8 weeks.

Methods:
The study was a non-comparative, single-blind trial conducted on 50 Indian volun-teers with skin types III and IV for 56 days. The safety and cosmetic acceptability of the eye cream were determined by self-evaluation. The ability of the product to improve skin hydra-tion and elasticity was determined by instrumental analysis and aesthetic features by derma-tologist evaluation.

Results:
In an 8-week assessment, the use of the eye cream twice daily resulted in improved skin hydration by 55.82% compared to baseline. A significant reduction in the appearance of dark circles under the eye, puffiness, wrinkles, and fine lines was reported.

Conclusion:
While the skin around the eyes shows early signs of aging, regular use of cosmet-ic creams with active components, such as peptides niacinamide, can lead to significant im-provement in overall aesthetic appearance.
Focus ‘De Heere is mijn hoog vertrek’. Het christelijk geloof van Etty Hillesum
Authors: Van den Brink G. 
Published: December 2024

N.a.v.: Judith Koelemeijer, Etty Hillesum. Het verhaal van haar leven (Amsterdam: Uitgeverij Balans, 2022) 574 p., € 34,95 (ISBN 9789463821742).
Value Cocreation and Codestruction in Digital Health Services: Protocol for a Systematic Review
Authors: Laukka Elina , Tuunanen Tuure , Jansson Miia , Vanhanen Minna , Hirvonen Nina , Palukka Jenni , Vesinurm Märt , Torkki Paulus 
Published: December 2024

Background
To successfully design, develop, implement, and deliver digital health services that provide value, they should be cocreated with patients. However, occasionally, the value may also be codestructed. In the field of health care, the concepts of value cocreation and codestruction still need to be better established within emerging digital health services. Studying these concepts is essential for developing effective and sustainable patient-centered care.

Objective
The aim of the study is (1) to understand the antecedents, decisions, and outcomes of value cocreation and codestruction in digital health services, (2) to define the dynamics between value cocreation and codestruction, and (3) to map future research areas of value cocreation and codestruction within digital health services.

Methods
The systematic review will be conducted in accordance with the Joanna Briggs Institute methodology for mixed method systematic reviews and the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement. The review considers scientific qualitative, quantitative, or mixed method studies published in English, Finnish, or Swedish that concern either value cocreation or codestruction in digital health services. Studies focusing on physical robotics and online health communities, as well as non–peer-reviewed and nonscientific papers, will be excluded. The searches were conducted using Scopus and MEDLINE during this protocol creation. Critical appraisal will be done using suitable checklists for qualitative, quantitative, and mixed method studies. The review will adhere to a convergent integrated approach as outlined in the Joanna Briggs Institute methodology for mixed methods systematic reviews.

Results
The searches resulted in a total of 837 records. The antecedents, decisions, and outcomes of value cocreation and codestruction in the context of digital health services will be described in a finalized systematic review. In the outcomes, our main interest is the effect on patient outcomes and experiences and professional experiences.

Conclusions
Since our study involves diverse scientific fields, there is a risk that our search does not capture all relevant papers. To mitigate this risk, we used 2 large databases for the searches. In addition, the value cocreation or codestruction terms may not have been used in all studies focusing on the collaborative roles of patients and providers, especially in the medical field, and that may be difficult to capture. The review reveals the current understanding of value cocreation and codestruction in digital health services and shapes the research agenda for these phenomena. Value cocreation can be used to both design and efficiently use digital health services trying to maximize the value for patients.

International Registered Report Identifier (IRRID)
DERR1-10.2196/63015
The Impact of Clinical Parameters on LSTM-based Blood Glucose Estimate in Type 1 Diabetes
Authors: Sunandha Rajagopal  , N. Thangarasu  
Published: December 2024

Accurate forecasting of blood sugar levels is essential for managing diabetes, especially Type-1 reducing incidences, and diminishing care, costs in patients. In this study, a Long Short-Term Memory Recurrent Neural Network (LSTM) model has been employed to predict blood glucose levels using clinical data. The research focuses on identifying and analyzing several key parameters that play a significant role in determining future blood glucose levels, ensuring a robust and reliable prediction framework. We have considered patient-specific features: Insulin-Sensitivity-Factor (ISF), total daily dose (TDD) of insulin, HbA1C levels, height and weight of a patient, and age and gender while analyzing the prediction performance for Blood Glucose. We thought training LSTM models on a large dataset and studying the most important predictors with their predictive power would be beneficial. The results indicate that including these clinical parameters improves the accuracy of blood glucose prediction and provides valuable information for individuals to control diabetes. This analysis highlights the efficiency of LSTM networks in making use of patient data to improve prediction models, eventually aiding more effective and individualized treatment strategies for Type 1 diabetic patients (T1D). This work also examines the extent to which each parameter influences the prediction of future blood glucose levels, providing deeper insights into their relative impact and significance in the predictive model.
Regulação para o ADS-B1 no espaço aéreo brasileiro
Authors: Cerqueira Raul Sandoval 
Published: December 2024

The Automatic Dependent Broadcasting Surveillance (ADS-B) is a well-known technology, internationally standardized and recognized as an inexpensive way to carry out radar-like surveillance, even in places where conventional radar surveillance is not adequate. The implementation of this technology means the introduction of new monitored airspace configurations and new operational capabilities that should be understood by the aeronautical community and the regulation of the Department of Airspace Control (DECEA) and the National Civil Aviation Agency (ANAC) should provide adequate processes for civil aviation operations in order to face this evolutionary stage, improving concepts and adapting procedures. This study, whose objective is to contribute to the strengthening of the regulation that will support ADS-B in Brazil, was developed with a multi-methodological approach, including a literature review, expert consultation, international benchmark and case study, and resulted in the identification of 15 possible regulatory improvements with a positive impact on the implementation of ADS-B in national airspace.
O futuro da confiabilidade da navegação aérea dependente do clima espacial
Authors: Aguiar João Pedro Souza , Eberhardt Dario 
Published: December 2024

The world’s aviation activity rises constantly, increasing aircraft density in all geographic territories. For this reason, there is a tendency of new navigation technologies to arise that, attending requirements of integrity, accuracy, availability, and continuity, will promote maintenance of air safety, even with increasing flight numbers. The means of positioning determination most used today at aircraft are dependent on satellites. The constellations GPS (Global Positioning System) and GLONASS (Global Navigation Satellite System – in Russian), and the augmentation systems WAAS (Wide Area Augmentation System) and European Geostationary Navigation Overlay Service (EGNOS), for example, are compounds of the Global Navigation Satellite System (GNSS). All the mentioned, are dependent of Earth geomagnetic and ionosphere equilibrium. Both are targets of solar and cosmic radiation bombardments, i.e. space weather. Depending on that phenomenon intensity, serious damages could occur on positioning systems, as in several others, such communications and power grids. In retrospect, space weather already led to losses such as in the events of 1989 and October 2003 on CONUS American region. The forecast quality for such occurrences is still poor, while society complacency associated to this subject is high, which further extends to the aviation, considering the potential damages.
Interseccionalidade e acesso a serviços de urgência e emergência em Pelotas, 2022
Authors: Mendes Delpino Felipe , Munhoz Figueiredo Lílian , Faria Rodrigues Leandro , Pereira Nunes Bruno 
Published: December 2024

IntroduçãoOs serviços de urgência e emergência são parte importante do sistema de saúde, e seu acesso pode apresentar desigualdade de acordo com o perfil socioeconômico e demográfico da população. Este estudo teve como objetivo avaliar a associação entre um índice de privação de direitos sociais e a utilização dos serviços de urgênciae emergência em um município de médio porte no Sul do país.
MétodosFoi realizado um estudo longitudinal, com dados de 3425 participantes que responderam as duas ondas, 2021 e 2022, do estudo “EAI PELOTAS? – Emergency Service Utilization and Artificial Intellingence in PELOTAS-RS”. O desfecho principal foi a utilização dos serviços, que foi dividida em serviços públicos e privados. A exposição principal foi a interseccionalidade de variáveis que expressam a privação de direitos sociais, chamado Jeopardy Index, cuja pontuação varia de 0 a 8, ao passo que 0 representa homem, branco, com alta escolaridade e alta classe econômica, e 8 representa mulher, preta/parda/amarela/indígena, com baixa escolaridade e baixa classe econômica. Foram realizadas análises de regressão de Poisson, com resultados expressos como Risco Relativo (RR), com intervalos de confiança de 95% (IC95%) e ajustados para possíveis fatores de confusão. O estudo foi aprovado pelo Comitê de Ética em Pesquisa, parecer número 39096720.0.0000.5317.
ResultadosA maior parte dos participantes eram mulheres, casadas, com idades entre 30 e 59 anos. Cerca de 32% da amostra utilizou os serviços públicos de saúde ao menos uma vez, enquanto 9,5% utilizaram os serviços privados ao menos uma vez. Quanto maior a privação dos direitos sociais, maior foi o uso dos serviços públicos de saúde (RR: 1.13; IC95%: 1.10-1.16). Por outro lado, quanto menor a privação dos direitos sociais, menor foi o uso dos serviços privados (RR: 0.65; IC95%: 0.61-0.69).
Discussão e conclusões
Nossos resultados mostraram que há desigualdades sociais no acesso aos serviços de urgência e emergência, com efeito sinérgico de variáveis que expressam privação de direitos sociais. Grupos com menor privação de direitos têm maior acesso aos serviços particulares, enquanto aqueles com maior privação acessam mais os serviços públicos. As desigualdades sociais são um problema que reflete as históricas e amplas iniquidades que existem no Brasil, pais que apresenta alta concentração de renda. Os serviços públicos de urgência e emergência são caracterizados por superlotação e demora no atendimento, o que evidencia injustiça na atenção à saúde, uma vez que os grupos com maior privação de direitos são os que mais utilizam esses serviços. É preciso reduzir as desigualdades no acesso aos serviços de saúde, conscientizar e investir na prevenção por meio de políticas públicas de qualidade que visem à promoção da saúde e à redução das desigualdades interseccionais no Brasil
Ampliando a Participação Social nas Consultas Públicas da CONITEC: Uma Análise da Opinião da Sociedade
Authors: Araujo Soraya , Bento Andrea , Cohen Carolina 
Published: December 2024

IntroduçãoEste estudo analisou a participação social nas consultas públicas promovidas pela CONITEC (Comissão Nacional de Incorporação de Tecnologias no Sistema Único de Saúde) com o objetivo de promover a equidade no acesso a tecnologias em saúde. A pesquisa, realizada por meio de um formulário eletrônico durante junho e julho de 2023, buscou compreender a percepção da sociedade sobre as consultas públicas da CONITEC e propor melhorias na metodologia de Avaliação de Tecnologias em Saúde (ATS).
MétodosForam coletadas respostas de 650 participantes por meio de um questionário eletrônico. Os dados incluíram informações demográficas, níveis de conhecimento sobre a CONITEC e ATS, percepções sobre o impacto das ATS na qualidade da assistência no SUS, viabilidade da participação pública, confiança nas decisões governamentais e a importância da participação da população na formulação de políticas de saúde.
ResultadosA pesquisa revelou que a maioria dos respondentes estava na faixa etária de 26 a 45 anos, com predomínio de mulheres (69,2%). Cerca de 47,7% dos participantes não trabalhavam na área de saúde, enquanto 52,3% estavam envolvidos de alguma forma, com destaque para aqueles que trabalhavam em estabelecimentos de saúde (26,2%). A maioria dos entrevistados (64,6%) conhecia a CONITEC e seu papel na saúde pública, mas apenas 58,5% entendiam o que era ATS. A maioria acreditava que as ATS impactavam positivamente a qualidade da assistência no SUS (75,5%) e que sua participação nas consultas públicas era viável (80%). No entanto, uma parcela significativa (63,1%) não tinha confiança de que o governo utilizava as informações coletadas nas consultas para incorporar novas tecnologias. A participação da população nas políticas de saúde foi considerada importante por 76,9% dos entrevistados, embora apenas 60% tivessem participado de consultas públicas online, possivelmente devido à falta de conhecimento (76,9%) e confiança (15,4%) em sua capacidade de contribuir efetivamente.
Discussão e conclusões
Os resultados destacam a necessidade de melhorias nas consultas públicas da CONITEC para aumentar a confiança da população e garantir que suas opiniões sejam consideradas. Uma sugestão apoiada por 67,7% dos participantes foi a criação de formulários específicos para diferentes doenças ou tecnologias. Essas conclusões ressaltam a importância de reformular a metodologia de ATS e promover uma participação efetiva da sociedade na tomada de decisões em saúde.