bluuebunny/crossref_metadata_2025 huggingface dataset:
Migration nowcasting using Google Trends: cross-country application
Authors: Bronitsky Georgy T.
Published: September 2024

Analysis of migration flows is crucial for understanding and forecasting social and economic trends. This paper presents an algorithm for obtaining migration estimates with minimal time delay (nowcasting) using Google Trends Index (GTI) search queries. The predictive power of the models is assessed across different periods, including one marked by the restrictions imposed due to the COVID-19 pandemic, which significantly impacted migration opportunities.

The paper evaluates models for estimating migration from six different countries to Germany. The key findings are as follows: first, in periods free from external shocks, using a single search query such as «work in Germany» in the official language of the migration origin country, along with its 12-month lags in SARIMAX or distributed lag models, yields higher accuracy in migration estimates compared to SARIMA models.

Second, during periods with external shocks, a multi-query distributed lag model, which incorporates additional search queries related to migration intentions, demonstrates superior predictive quality.

Finally, the paper proposes an enhanced method for migration forecasting based on GTI data. It highlights the importance of using a distributed lag model, which includes multiple GTI time lags, rather than models with individual GTI lags. Models employing GTI with lags consistently show better predictive power than SARIMA models across all countries and time periods considered.
Limit theorems for nonparametric conditional U-statistics smoothed by asymmetric kernels
Authors: Bouzebda Salim , Nezzal Amel , Elhattab Issam
Published: September 2024

$ U $-statistics represent a fundamental class of statistics used to model quantities derived from responses of multiple subjects. These statistics extend the concept of the empirical mean of a $ d $-variate random variable $ X $ by considering sums over all distinct $ m $-tuples of observations of $ X $. Within this realm, W. Stute [134] introduced conditional $ U $-statistics, a generalization of the Nadaraya-Watson estimators for regression functions, and demonstrated their strong point-wise consistency. This paper presented a first theoretical examination of the Dirichlet kernel estimator for conditional $ U $-statistics on the $ dm $-dimensional simplex. This estimator, being an extension of the univariate beta kernel estimator, effectively addressed boundary biases. Our analysis established its asymptotic normality and uniform strong consistency. Additionally, we introduced a beta kernel estimator specifically tailored for conditional $ U $-statistics, demonstrating both weak and strong uniform convergence. Our investigation considered the expansion of compact sets and various sequences of smoothing parameters. For the first time, we examined conditional $ U $-statistics based on mixed categorical and continuous regressors. We presented new findings on conditional $ U $-statistics smoothed by multivariate Bernstein kernels, previously unexplored in the literature. These results are derived under sufficiently broad conditions on the underlying distributions. The main ingredients used in our proof were truncation methods and sharp exponential inequalities tailored to the $ U $-statistics in connection with the empirical processes theory. Our theoretical advancements significantly contributed to the field of asymmetric kernel estimation, with potential applications in areas such as discrimination problems, $ \ell $-sample conditional $ U $-statistics, and the Kendall rank correlation coefficient. Finally, we conducted some simulations to demonstrate the small sample performances of the estimators.
Towards Effective Adaptive Revision: Comparative Analysis of Online Assessment Platforms through the Combined AHP-MCDM Approach
Authors: Smahi Kaoutar , Labouidya Ouidad , El Khadiri Khalid
Published: September 2024

This study presents a detailed comparative analysis of online evaluation platforms aimed at identifying the most suitable one for integrating an adaptive revision plugin. The study uses both the analytic hierarchy process (AHP) and multi-criteria decision making (MCDM) to give a structured and thorough evaluation of different learning management systems (LMSs). By scrutinizing the capabilities, interfaces, and underlying technologies of these systems, the analysis seeks to pinpoint the platform that offers optimal compatibility, flexibility, functionality, and user experience. The central objective of this study is to enhance the effectiveness of adaptive learning tools within educational technologies. This is achieved by evaluating different platforms to ascertain which one best supports the integration of adaptive revision functionalities. Our comprehensive analysis clearly identifies Moodle as the superior platform due to its robust adaptability and enhanced customization capabilities, which are essential for implementing effective adaptive learning tools. The results underscore Moodle’s potential to significantly enhance the educational experience by supporting tailored learning paths and dynamic content adjustments. This study not only highlights Moodle’s advantages but also sets the groundwork for future advancements in adaptive educational technologies.
Integration of a Mobile-Based Smart Measurement System to Assess the Level of Work Readiness of Vocational Students in Higher Education
Authors: Resmi Darni  , Yulyanti Harisman  , Dina Sukma  , Efi Fitriana  , Rezki Ashriyana Sulistiobudi
Published: September 2024

This study aims to develop and evaluate a mobile-based intelligent measurement system as a tool to assess work readiness and identify work readiness patterns among vocational students in facing the challenges of Industry 4.0. Through the development of this innovative system, we have successfully created a tool that can provide more accurate and efficient evaluations of students’ work readiness. The results of the study indicate that adapting to technological advancements and current labor market demands is crucial in preparing vocational graduates to succeed in an increasingly competitive workforce. It is hoped that these findings will contribute to improving the quality of vocational education and ensuring that graduates possess the relevant skills needed by the industry. In conclusion, this study not only offers practical solutions to enhance the work readiness of vocational students but also contributes to our understanding of vocational education in the Industry 4.0 era.
Achieving Optimal Decision Making in Mobile English Language Teaching Using Information Technology
Authors: Fu Xiaoxiao , Pan Dandan
Published: September 2024

In the context of globalization, the quality and effectiveness of English education have become increasingly significant. The rapid advancement of information technology has provided a wealth of tools and methods for enhancing English education. However, achieving optimal decision-making in the context of information technology to improve the overall efficiency of English education remains a pressing issue. Network data envelopment analysis (network DEA), an effective performance evaluation tool, systematically analyzes and optimizes complex multi-stage decision processes, thereby providing scientific support for educational decision-making. Although numerous studies have attempted to incorporate information technology into educational decision-making, most methods focus on single-stage processes and lack systematic analysis of the entire decision process. This study constructs and designs a decision process model for mobile English education based on network DEA, systematically analyzing the input-output relationships at each stage and proposing optimization strategies and implementation plans to achieve optimal educational decisions. This study not only addresses the shortcomings of existing methods by providing more comprehensive and scientific decision support but also offers crucial references for educational administrators in formulating and implementing effective teaching strategies in the context of information technology.
Intelligent Tourism: Innovative Applications of Mobile Technology in Personalized Travel Planning
Authors: Ding Dong , Wang Shanshan , Chang Xiangpeng
Published: September 2024

With the rapid development of the global tourism industry and the widespread adoption of mobile internet technologies, personalized travel itinerary planning has emerged as a crucial method to meet the diverse needs of tourists. Traditional planning approaches, relying on fixed routes and preset attractions, often fail to provide flexible and personalized services. In this context, the application of intelligent tourism technologies has garnered increasing attention, facilitating the provision of customized itinerary planning services through mobile technologies and intelligent algorithms. Although existing study has enhanced the intelligence level of itinerary planning to some extent, it still falls short in considering the comprehensive dimensions of time and space, as well as in responding to the dynamic demands of tourists in real time. This study introduces a mobile predictive model tailored for personalized travel itinerary planning, incorporating the components of a spatio-temporal graph convolutional network (STGCN) with an attention mechanism and spatial node embedding vector components. This model effectively captures the dynamic characteristics of time and space in travel itineraries, achieving personalized recommendations and optimizations. It significantly improves the accuracy and response speed of itinerary planning, providing important support for the digital transformation and innovative development of the tourism industry.
The Role of Interests in STEM Pursuit and Academic Performance
Authors: McIntyre Miranda M. , Uche Ada R. , Ngambeki Ida B.
Published: September 2024

A good fit between students' interests, academic major, and subsequent career is critical for occupational success and satisfaction. Substantial work has examined how individual differences in interests are linked with academic and career choices. However, less is known about the role of interest in student performance. To investigate how interests are related to academic outcomes, the current work combined psychological and institutional data in a sample of N = 8,326 students enrolled in 249 different majors. Study 1 identified five major clusters that reveal diversity in interests across STEM and non-STEM majors. These patterns suggest that the common STEM vs. non-STEM dichotomy may misrepresent differences and similarities in interests across majors. Study 2 used interests and institutional data to predict student GPA. The results clarify previous findings about the role of interests in performance and highlight the importance of person-environment fit.
Multi-Dimensional Consensus Node Trust Evaluation and Selection for Blockchain-Empowered Electric Measurement Data Traceability
Authors: Du Xianbo , Wang Shuyun , Li Chunyang , Cui Mingtao , Xiong Zheng , Liu Haodong
Published: September 2024

With the deployment of internet of things-based monitoring terminals, massive electric measurement data are transmitted and shared among different grid company sectors. Consortium blockchain based consensus process has been adopted to enhance data traceability. However, previous studies face challenges including single-dimensional indication and lack of dynamic trustworthy degree update mechanism. Therefore, this paper proposes a node trust evaluation and selection algorithm based on improved fuzzy Petri network (IFPN). Firstly, the multi-dimensional node trust evaluation and selection framework for practical Byzantine fault tolerance (PBFT)-empowered electric measurement data sharing is constructed. On this basis, IFPN is proposed to dynamically evaluate measurement data node trust, and nodes participating in the PBFT consensus process are selected based on the Top-N algorithm. Further, the trustworthy degree of IFPN is dynamically updated based on the fuzzy deviation to improve the accuracy. Finally, the superiority of the proposed algorithm has been verified through simulation.
ANÁLISE DO USO DA TERRA NAS ÁREAS DE PRESERVAÇÃO PERMANENTE NA CIDADE DE FOZ DO IGUAÇU - PARANÁ
Authors: Bortoluzzi Leandro Neri , Tommaselli José Tadeu Garcia
Published: September 2024

Foz do Iguaçu passou por forte crescimento populacional na segunda metade do século XX. Predominantemente rural, passou a vivenciar a expansão do tecido urbano e consequente incorporação de cursos fluviais na área urbana. Isso ocorreu sobretudo a partir da construção da usina hidrelétrica de Itaipu. Esse processo foi demarcado pela ação de diferentes agentes produtores do espaço urbano. Na complexa teia de relações entre Estado, grupos marginalizados e detentores do capital, diversos locais onde deveriam existir áreas de preservação permanente, a vegetação nativa foi suprimida por outros usos. Este artigo analisa a atual situação das APPs fluviais da área urbana de Foz do Iguaçu, com base em imagens de satélite dos anos de 2004 e 2020 com o intuito de analisar os possíveis conflitos de uso das APPs no século XXI. A análise permitiu identificar, entre outras coisas, que apesar dos esforços de recuperação da mata degradada, ainda ocorrem situações de conflito, existindo áreas de APP ocupadas por edificações, agricultura mecanizada e manual, mineração, entre outros. Além do mais, foi verificado que o uso indevido das áreas de APP, ao longo da produção do espaço urbano iguaçuense ocorre pelos diferentes produtores do espaço urbano. Portanto, isso reflete um tensionamento da relação sociedade e natureza de complexa resolução.
Comparison of high flow and standard oxygen therapy in patients with acute hypoxemic respiratory failure in emergency department. A randomized controlled cross over superiority trial
Authors: Rahul Rohan Mamidi , Sharma Ashima , Nizami Mohammed Ismail , Tarannum Lubna
Published: September 2024

The aim of our study was to determine whether high flow oxygen therapy reduced the rate of endotracheal intubation and improve pulmonary outcome score. A total of 300 consecutive patients were enrolled in the study. The etiologies of acute respiratory failure were classified into trauma, lung diseases, fluid overload states and undifferentiated. Patients were randomized by block randomization method into two groups. First group received HFNC while the second received conventional oxygen therapy. Patients in both the groups were escalated to either NIV or invasive mechanical ventilator support if there were any signs of respiratory distress noted. Pulmonary outcome scoring done at 2 hours was designed to see if there was any improvement in patient’s condition in both the groups. SPSS (version 21.0, Illinois, Chicago) was used for the statistical analysis. The partial pressures of oxygen improved significantly in the HFNC group as compared to the COT group irrespective of the etiology. The partial pressures of CO2 on ABG were similar in both the groups until 12 hrs. However, pCO2 was earlier reduced in the HFNC group as compared to the COT group. Steady decrease in serum lactate levels were observed in HFNC group. The base deficit was corrected between 6-12 hours in patients of HFNC group which could not be seen in patients of COT group. There was a statistically significant difference noted at 12 and 24 hours between the two groups. The mean length of stay in HFNC group was around 4 days which was less compared to the length of hospital stay in COT which was an average of 7 days. The mortality in HFNC group was 4% and in COT group was 7.33% in our study. The study demonstrated that the use of HFNC in ED patients presenting with AHRF was associated with a greater reduction in need for escalation of ventilation requirements and improves pulmonary outcomes compared with standard oxygen therapy.
Women and spondyloarthritis
Authors: Ramonda R. , Oliviero F.
Published: September 2024

Spondyloarthritis is an umbrella term for a heterogeneous group of chronic inflammatory diseases affecting the spine and/or peripheral joints, often associated with extra-articular manifestations, such as psoriasis, uveitis, and inflammatory bowel disease...
Inflammatory bowel diseases and spondyloarthritis: a focus on female patients
Authors: Caranfil C. , Lorenzon G. , Barberio B. , Ramonda R. , Savarino E.V. , Zingone F.
Published: September 2024

Objective. Ulcerative colitis and Crohn’s disease are chronic inflammatory diseases and represent the two most important types of inflammatory bowel diseases (IBD), while spondyloarthritis (SpA) comprises a heterogeneous group of systemic inflammatory chronic rheumatic diseases, including peripheral SpA and axial SpA. Joint manifestations are the most commonly observed extraintestinal manifestations, and they can precede or not the diagnosis of IBD. Notably, in women, misdiagnoses of IBD as irritable bowel syndrome and SpA as fibromyalgia are common, leading to delayed diagnoses, increased disease burden, and poorer prognoses. This narrative review emphasizes the critical role of diagnostic tools in facilitating early referrals of IBD patients with suspected SpA and vice versa to rheumatologists and gastroenterologists, respectively. Special attention is given to the multidisciplinary approach for more effective management of these conditions, particularly in female patients.
Methods. In this narrative review, we critically evaluated the literature on this topic, focusing on papers written in English that address female issues in IBD and SpA.
Results. IBD and SpA are chronic inflammatory disorders often occurring in the same patients. Female patients are often misdiagnosed, and this delay in diagnosis is associated with a higher disease burden and a poorer prognosis.
Conclusions. A multidisciplinary approach is needed to enable early referral between gastroenterologists and rheumatologists, as this means a better prognosis for patients with a reduction in the economic and social burden associated with IBD and SpA.
Efficacy of indigenous games on literacy and numeracy development in pre-schoolers in Zambia
Authors: Mwinsa Grant M. , Dagada Murunwa
Published: September 2024

Background: The most effective indigenous games well known to pre-schoolers must be used in schools, given the significance of literacy and numeracy abilities in children’s future educational prospects and successes.Aim: The goal of this article was to determine the efficacy of indigenous games in promoting literacy and numeracy skills among preschool children.Setting: Ten teachers were selected from the four rural selected schools in Zambia with Early Child Education (ECE) centres.Methods: The article used a participatory action research design with a purposive sampling technique. The researchers used interviews and participatory observations to collect data.Results: The study found that indigenous games, when used effectively, can have the potential to promote the child’s literacy and numeracy skills, even though some teachers found them challenging to execute. The study adopted a thematic analysis approach to analyse a set of data and search for patterns in its interpretation to identify themes.Conclusion: The study has shown that indigenous games have many benefits for pre-schoolers’ learning. The study recommends that teachers should attend intensive continuing professional development (CPD) workshops and seminars to gain the knowledge and abilities necessary to effectively and suitably teach ECE learners pertinent skills through traditional games. Parents should be involved in teaching traditional games. Besides, the curricula of universities and colleges of education should include instructions in indigenous games for teacher preparation.Contribution: Research on the use of indigenous games in promoting the acquisition of literacy and numeracy skills in Zambia is limited, hence this enquiry.
Multiphase Flow Simulation of Blow-by and Fuel-in-Oil Dilution via
the Piston Ring Pack Using the Level-Set Method
Authors: Antony Patrick , Hosters Norbert , Behr Marek , Hopf Anselm , Krämer Frank , Weber Carsten , Turner Paul
Published: September 2024

Modern diesel engines temporarily use a very late post-injection in the
combustion cycle to either generate heat for a diesel particulate filter
regeneration or purge a lean NOx trap. In some configurations, unburned fuel is
left at the cylinder walls and is transported via the piston rings toward the
lower crankcase region, where fuel may dilute the oil. Reduced oil lubrication
shortens the oil service intervals and increases friction. Beside diesel fuel,
this problem may also occur for other types of liquid fuels such as alcohols and
e-fuels. The exact transport mechanism of the unburned fuel via the piston ring
pack grooves and cylinder wall is hard to measure experimentally, motivating
numerical flow simulation in early design stages for an in-depth understanding
of the involved processes. A new CFD simulation methodology has been developed
to investigate the transient, compressible, multiphase flow around the piston
ring pack, through the gap between piston and liner, and its impact on fuel or
oil transport. The modern level-set approach is used for the multiphase physics,
which directly captures the sharp interface between blow-by gas and fuel or oil.
Transient blow-by and two-phase flow simulations have been extensively applied
to a Ford 2.0 L I4 diesel test engine. The results confirm the validity of the
flow compressibility assumption and highlight the sensitivity of the fuel
leakage regarding piston sealing ring movement and highly resolved meshes for
the multiphase flow. Based on the simulation results, design recommendations for
piston and piston ring geometry are provided to reduce the fuel transport toward
the crankcase.
Nickel Alloy, Corrosion- and Heat-Resistant, Sheet, Strip, and Plate 41.5Ni - 16Cr - 37Fe - 2.9Cb (Nb) - 1.8Ti Consumable Electrode or Vacuum Induction Melted, 1800 °F (982 °C) Solution Heat Treated (Alloy 706)
Authors:   AMS F Corrosion and Heat Resistant Alloys Committee
Published: September 2024

This specification covers a corrosion- and heat-resistant nickel alloy in the form of sheet, strip, and plate 1.00 inch (25.4 mm) and under in nominal thickness.
Hose Assembly, Polytetrafluoroethylene (PTFE), Low Pressure, 450 °F and Fireproof, Procurement Specification for
Authors:   G-3, Aerospace Couplings, Fittings, Hose, Tubing Assemblies
Published: September 2024

This SAE Aerospace Standard (AS) covers the requirements for polytetrafluoroethylene (PTFE) hose assemblies for use in aerospace fuel and lubricating oil systems at temperatures between -67 °F and 450 °F and at operating pressures per Table 1. The hose assemblies are also suitable for use within the same temperature and pressure limitations in aerospace pneumatic systems, where some gaseous diffusion through the wall of the PTFE liner can be tolerated.

The use of these hose assemblies in pneumatic storage systems is not recommended. In addition, installations in which the limits specified herein are exceeded, or in which the application is not covered specifically by this document, for example oxygen, shall be subject to the approval of the purchaser.
On-Board System Requirements for V2V Safety Communications by School Buses
Authors:   V2X Core Technical Committee
Published: September 2024

This document specifies the on-board system requirements for vehicle-to-vehicle (V2V) safety system for school buses, including functional requirements and performance requirements. The system can send the SAE J2735-defined basic safety message (BSM) over a wireless communications interface; the communications interface itself is outside the scope of this document. This document provides the specifications necessary to build interoperable systems that support V2V applications that rely on receiving BSMs from school buses.
2.5/5/10GBASE-T1 Shielded Balanced Single Pair Ethernet Cable
Authors:   Cable Standards Committee
Published: September 2024

This standard covers a single shielded balanced pair (twisted or parallel) jacketed data cable intended for use in surface vehicle cables for 2.5, 5, and 10 Gb/s Ethernet applications. The tests in this standard are intended to qualify cables for normal operation in an automotive environment while maintaining the necessary electrical properties for reliable data transmission.
Evaluación de la calidad y satisfacción de productos ofertados en el restaurante el Bunker de Hobby de la ciudad de Cuenca
Authors: Morocho Chuchuca Verónica , Vazquez Eugenia Gabriela , Araujo Ochoa Gabriela
Published: September 2024

El presente artículo investigativo tiene como objetivo principal analizar la calidad y satisfacción de los productos ofrecidos en el restaurante El Bunker de Hobby, ubicado en la ciudad de Cuenca. La importancia de esta evaluación radica en comprender cómo los consumidores perciben la calidad de los alimentos y servicios ofrecidos por este establecimiento, así como identificar posibles áreas de mejora para garantizar la satisfacción del cliente.
El proceso metodológico para el desarrollo de la investigación está basado en la ejecución de la metodología Casa de la Calidad dentro del marco de referencia del Quality Function Deployment (QFD). Para lo cual y en concordancia con los objetivos específicos, se partirá por definir cuáles son las variables asociadas a la calidad del producto seleccionado para, posteriormente someter el mismo a validación tanto de competencia como de consumidor. Y, finalmente a partir de ello, establecer recomendaciones de mejora para la marca. Intención que se llevará a cabo a través de las fases que se explican a continuación y que tienen un alcance exploratorio, descriptivo y relacional dentro del método analítico – sintético.
Este estudio proporcionará datos clave para mejorar la calidad y satisfacción del cliente en El Bunker de Hobby, fortaleciendo su competitividad.
Aplicación del QFD en Siprodita S.A para la optimización de la calidad y rentabilidad en el cultivo combinado de granos y semillas oleaginosas
Authors: Vargas Mayra Alejandra , Noboa Asencio Anthony Bryan , Proaño Chacha Sonnia
Published: September 2024

El presente estudio examina la aplicación del Despliegue de la Función de Calidad (QFD) en Siprodita S.A, para perfeccionar los estándares y rentabilidad en el cultivo combinado de granos y semillas oleaginosas, esta elección se fundamenta en la necesidad de optimizar la gestión agrícola y maximizar la producción, en un entorno competitivo. Mediante la investigación, se determina la demanda y las expectativas de los clientes. Ajustar sus procesos y productos es relevante para captar de manera efectiva a más público objetivo. La metodología utilizada, consiste en recopilar datos a través de búsquedas bibliográficas, consultas con expertos y análisis de mercado. Los resultados obtenidos muestran una alineación productiva entre las necesidades y los procedimientos internos de las actividades del emprendimiento, perfeccionando la eficiencia operativa y la satisfacción del cliente. La implementación del QFD fortalece su posición en el sector, brinda conocimiento a los profesionales y expertos de la agroindustria. En conclusión, respalda una estrategia eficaz para mejorar la calidad de los productos agrícolas, abre camino a las oportunidades que se presentan para aumentar la rentabilidad del emprendimiento, lo que potencializa la calidad de los productos con una perspectiva integral dentro de los desafíos a los que enfrenta en la actualidad.
Fatores envolvidos no sucesso da utilização de implantes estreitos em Odontologia - uma revisão de literatura
Authors: Torri Ana Paula
Published: September 2024

Historicamente os implantes comumente utilizados e estudados possuem diâmetros entre 3.7 e 4.3, foram estabelecidos protocolos de tratamento com excelentes resultados a longo prazo. Nem sempre as dimensões permitem a instalação de implantes regulares, portanto implantes estreitos são uma alternativa para reabilitações com implantes em áreas onde a largura óssea é limitada, o espaço mesio-distal é reduzido e o enxerto é inviável. O sucesso de um implante está atrelado a uma boa osseointegração, uma boa estética, função e durabilidade. Este trabalho tem como objetivo revisar as indicações, a sobrevivência e possíveis falhas de um implante pouco estudado. Implantes estreitos podem substituir regenerações ósseas, diminuindo tempo de tratamento, custo e morbidade para o paciente.
Otimizando adesão em prótese fixa: revisão de literatura
Authors: Silva Diêgo Jackson de Souza , Melo Eduardo Henriques de
Published: September 2024

O objetivo do presente trabalho foi realizar uma revisão de literatura para discutir como otimizar a cimentação em prótese fixa, de modo específico pretendeu-se apresentar soluções para a hibridização e, ou preparo de laminados, assim como o substrato dental. Trata-se de uma revisão de literatura do tipo narrativa. Devido à demanda metodológica, foram incluídas publicações relacionadas ao objetivo da pesquisa, artigos nos idiomas português ou inglês, sem limitação de data de publicação, disponíveis em texto integral. Por outro lado, foram excluídas publicações em duplicidade ou aquelas cujo texto integral não foi encontrado. A busca dos artigos foi realizada de forma digital, nas bases de dados Biblioteca Virtual em Saúde, Scientific Electronic Library Online e Google Acadêmico, utilizando os seguintes descritores: selamento dentinário imediato; adesivos dentinários; cimentos dentários; dentina. O selamento dentinário imediato pode ser indicado, desde que consista na aplicação de uma fina camada de adesivo após o preparo e antes da cimentação temporária. A técnica permite a preservação da dentina fresca em sua condição ideal para adesão e reduz os problemas pós-operatórios associados aos dentes preparados, como a sensibilidade dentária. Diversos sistemas adesivos, assim como cimentos resinosos, com diferentes formulações e técnicas de utilização, encontram-se disponíveis no mercado. O selamento imediato da dentina possui vantagens e controvérsias, quando comparada aos procedimentos tradicionais. Dentre os benefícios citados por essa abordagem, os autores pesquisados destacaram melhoras na resistência de união a cimentos resinosos, assim como prevenção à sensibilidade pós-operatória de dentes preparados para restaurações indiretas.
Alginato na prótese dentária: revisão de literatura
Authors: Valença Eduardo Souza , Melo Eduardo Henriques de
Published: September 2024

O objetivo do presente trabalho foi realizar uma revisão de literatura com vistas a responder ao seguinte questionamento: como manter a acurácia, estabilidade dimensional e evitar a deformação do alginato nos procedimentos de prótese dentária? O delineamento escolhido foi de uma revisão de literatura do tipo narrativa. A busca dos artigos foi realizada de forma digital, nas bases de dados Biblioteca Virtual em Saúde, Scientific Electronic Library Online e Google Acadêmico, utilizando os seguintes descritores: técnica de moldagem odontológica; materiais para moldagem odontológica; teste de materiais; modelos dentários; alginatos. Foram incluídas publicações relacionadas aos objetivos elencados nesta pesquisa, artigos nos idiomas português ou inglês, disponíveis em texto integral. Foram excluídos artigos em duplicidade. A literatura apontou diversos métodos para aferir a estabilidade dimensional, sendo o meio de conservação do molde, o rápido vazamento do gesso e a obediência às proporções de material e água os principais meios para evitar a deformação do alginato nos procedimentos protéticos. Foi possível concluir que os moldes armazenados com certa umidade podem aguardar algumas horas sem correr o risco de alterações dimensionais, e que na ausência de um humidificador o molde deve ser vazado imediatamente após a moldagem.
Sistemas cerâmicos odontológicos: uma revisão da literatura
Authors: Almeida Maria Roberta Raimundo , Melo Eduardo Henriques de
Published: September 2024

Realizar uma revisão na literatura visando apresentar os tipos de cerâmica odontológica, envolvendo desde a composição, vantagens, desvantagens e indicações. Foram utilizados artigos de bases de dados, nacionais e internacionais, a saber: Google Acadêmico, PubMed, SciELO e LILACS. Com ano de publicação de 2001 a 2022, através dos operadores booleanos: and e or, e dos descritores: cerâmica; coroa dentária; reabilitação bucal, nos idiomas inglês e português. Foram selecionados 31 artigos, a partir dos quais foi realizada a síntese dos dados. As restaurações estéticas em cerâmicas passaram a fazer parte no dia a dia do cirurgião-dentista, e sua aplicabilidade se deu por apresentar várias propriedades muito semelhantes aos dentes naturais, dentre as quais se destacam: translucidez, fluorescência, coeficiente de expansão térmica linear compatível ao dente natural, compatibilidade biológica, e uma maior resistência à compressão e à abrasão. Inúmeros sistemas cerâmicos estão disponíveis no mercado, levando esses profissionais da área reabilitadora a uma constante busca por conhecimento acerca das suas propriedades e indicações, para que encontre bons resultados devido à seleção do melhor material para determinado caso aliado à uma boa habilidade do profissional.
Alterações dimensionais de tecidos moles e duros no rebordo alveolar pós-extração dentária: uma revisão de literatura
Authors: Siprandi Tainara
Published: September 2024

O objetivo deste artigo foi apresentar as alterações dimensionais que ocorrem no rebordo alveolar pós-extração dentária. Para isso, através da metodologia de revisão sistemática de literatura, realizou-se a busca de produções científicas relacionadas ao tema por meio das plataformas SciELO, PubMed, Periódicos da CAPES e Google Acadêmico, empregando como palavras-chave “pós-extração”, “alterações dimensionais”, “tecidos moles e duros” e “rebordo alveolar”. A busca resultou em uma série de artigos nacionais e internacionais, que após filtragem pela relação direta com o tema, identificou os principais resultados da literatura científica atual sobre os benefícios e limitações relacionados às alterações dimensionais dos tecidos na pós-exodontia. Com isso, conclui-se que alterações que ocorrem no rebordo alveolar depois da extração dentária são bastante significativas, ao passo que a preservação alveolar é imprescindível, pois o seu não planejamento pode resultar no insucesso do tratamento para o paciente, causando sérias consequências, de ordem funcional e estética. Por fim, cada vez mais se consolidam conhecimentos para aplicação de diferentes tratamentos, visando atenuar a reabsorção alveolar e buscar a melhor forma de restauração da saúde bucal do paciente.
Analisis Konten Website Ecogreen Campus UIN Raden Fatah Sebagai Media Informasi Universitas
Authors: Juwita Intan , Hamidah Hamidah , Trisiah Anita
Published: September 2024

Website merupakan bukti bahwa media komunikasi dan informasi sudah berkembang dan menyesuaikan dengan penggunaan teknologi berbasis internet. Luasnya jangkauan penggunaan internet membuat kajian yang dapat memastikan peran website sebagai media informasi dalam memenuhi kebutuhan publik perlu untuk dilakukan. Penelitian ini dilakukan dengan tujuan untuk mengetahui konten atau isi website sebagai media  informasi universitas pada website Ecogreen Campus UIN Raden Fatah. Penelitian ini berpedoman pada kriteria 7 aspek dari teori Website Attribute Evaluation System yang harus dimiliki website sebagai media informasi, yaitu; transparancy, interactivity, usability, website maturity, positivity, openness, dan useful information. Metode yang digunakan dalam penelitian ini adalah metode analisis konten kualitatif. Hasil penelitian ini menunjukkan bahwa website Ecogreen Campus UIN Raden Fatah merupakan sebuah website yang memang berfokus pada konten informasi. Berdasarkan analisis peneliti, terdapat 5 aspek yang telah diimplementasikan pada website ini yaitu aspek transparancy, interactivity, website maturity, positivity, dan useful information. Sedangkan 2 aspek yang belum terpenuhi yaitu aspek usability, dan openness. Konten informasi yang ditonjolkan pada website ini berupa konten berita mengenai kegiatan-kegiatan yang dilakukan oleh tim EGC. Terbukti bahwa Ecogreen Campus UIN Raden Fatah sangat serius dalam memberikan informasi kepada publik. Tim Ecogreen Campus menyatakan beberapa fitur akan terus dioptimalkan sebagai media informasi yang merupakan aspek untuk meningkatkan kepercayaan publik pada website ini.
IDCloudHost Digital Business Strategy for Digitalizing MSMEs in Indonesia
Authors:   School of Economics and Business, Telkom University, Indonesia, Petroliunanda Glenn , Tricahyono Dodie ,   School of Economics and Business, Telkom University, Indonesia
Published: September 2024

MSMEs are a segment of entrepreneurs with the largest number in Indonesia. MSMEs are the backbone of the Indonesian economy today. During the Covid-19 pandemic, MSMEs were affected by the pandemic so that the Indonesian economy weakened until a recession occurred. The government sees a solution based on this condition to restore and recover the economy, by restoring MSME players so they can boost the Indonesian economy again. The government considers that MSMEs need to digitize to restore trade conditions, as well as so that MSMEs can upgrade and survive in uncertain conditions. The Ministry of Cooperatives and SMEs encourages MSME businesses to digitize by asking IDCloudHost as a cloud and hosting service provider in Indonesia to help the government digitize MSMEs. The purpose of this study is to explain IDCloudHost’s internal and external factors and explain IDCloudHost’s business strategy in digitizing MSMEs in Indonesia. The method used is descriptive qualitative research method. The results show that IDCloudHost’s external and internal factors are summarized into strengths, weaknesses, threats and opportunities. IDCloudHost is currently carrying out a cost leadership strategy in reaching the MSME segment. Recommendations and action plans for IDCloudHost include developing knowledge and understanding in strengthening the management structure, innovating and developing special products for MSMEs that are affordable, and conducting digital literacy education for MSMEs for digitalization.
Programa Nacional de Alimentação Escolar (Pnae) e segurança alimentar e nutricional dos estudantes da rede municipal de Belém-PA, no contexto da pandemia de Covid-19
Authors:   , Farias Carla Mariely Negrão
Published: September 2024

O Programa Nacional de Alimentação Escolar (Pnae) é um importante programa de garantia da Segurança Alimentar e Nutricional e do Direito Humano à Alimentação Adequada, sendo reconhecido mundialmente. Durante a crise sanitária provocada pela pandemia do novo coronavírus, em todo território nacional as aulas presenciais da rede pública de ensino tiveram de ser suspensas e com isso a distribuição de alimentos nas escolas foi paralisada, atingindo também os agricultores familiares que tiveram dificuldades de escoar seus produtos, deixando de atender o Pnae. A dissertação teve como objetivo avaliar os impactos da pandemia no funcionamento do Pnae e na Segurança Alimentar e Nutricional dos estudantes da rede municipal de ensino de Belém, capital do estado do Pará. Trata-se de um estudo de caráter quantitativo cujos dados são referentes a dois momentos, antes (2019) e durante a pandemia (2020 e 2021). E foram obtidos utilizando pesquisa documental e entrevistas semiestruturadas direcionadas a quatro atores sociais do Pnae em Belém- PA, sendo eles: Nutricionista do Quadro Técnico da Secretaria Municipal de Educação, Diretora-Geral da Fundação Municipal de Assistência ao Estudante, representante da Empresa de Assistência Técnica e Extensão Rural e presidente do Conselho de Alimentação Escolar. O projeto foi aprovado no Comitê de Ética em Pesquisa com Seres Humanos da Universidade Federal de Viçosa, nº 5.317.938, e a participação ocorreu mediante assinatura do Termo de Consentimento Livre e Esclarecido. Os resultados do estudo trazem que houve distribuição de kits de alimentos para os alunos de todas as escolas do município em 2020 e 2021 e a distribuição foi realizada nas escolas frequentadas pelos estudantes. Durante o ano de 2020 não houve diferenciação de composição dos kits entre as modalidades de ensino, nem houve presença de alimentos oriundos da agricultura familiar para todos os estudantes. Concluiu-se que, tanto os estudantes, quanto os agricultores sofreram agravos que podem ter contribuído negativamente para a manutenção da Segurança Alimentar e Nutricional. Palavras-chave: Alimentação escolar; Segurança Alimentar e Nutricional; Covid-19; agricultura familiar; escolas municipais.
Application of Diagonalised Rhotrix to Solution of System of Differential Equations
Authors: Aminu Jibril , Dari Sani , Karma Mathew Solomon , Yusuf Luqman , Magaji Abubakar Sadiq
Published: September 2024

Since the introduction of rhotrices, there are so many studies on the concept in relations to matrices, abstract structures, quadratic forms etc. The choice of diagonalization of rhotrix to solve the systems of differential equation was eminent. In this paper, the eigenvalues, eigenvectors and diagonalization of rhotrices were presented. A brief review of the system of ordinary differential equation and its solution was also presented; finally, various systems of ordinary differential equations were examined with regard to diagonalized rhotrices.
Enhanced Deep learning for Pothole Detection in Autonomous Vehicles
Authors: Ibrahim Rabiatu Kasim , Mustapha Rabi , Haruna Khalid
Published: September 2024

Potholes present a substantial hazard to road safety, resulting in accidents and impeding the smooth flow of traffic. This issue is particularly salient in developing nations such as Nigeria, where proactive and effective pothole management is imperative. The present study addresses this challenge by advocating a pioneering methodology employing an Enhanced Faster R-CNN algorithm that amalgamates EfficientNet and Faster R-CNN techniques. The primary objective of this model is to enhance pothole detection accuracy, with a specific focus on facilitating the operations of autonomous vehicles within environments characterized by resource limitations. By harnessing the efficiency of the Lightweight Faster R-CNN in conjunction with EfficientNet, the proposed model attains a notable accuracy rate of 97.7%. This performance surpasses that of established architectures including MobileNetV2, ResNet50, VGG16, and Inception V3. These findings underscore the efficacy of the model in real-time pothole detection, thereby underscoring its potential to substantially ameliorate road safety and traffic management in developing regions.
Predictive Analytics of the Risk of In-Hospital Mortality of Heart Failure Patients in Intensive Care Unit
Authors: Abubakar Umar Gambo , Agbogun Joshua Babatunde , Omotehinwa Temidayo Oluwatosin , Abdullahi Monday Jubrin , Nnamani Bethel Ugochukwu , Ariwa Rosemary Ngozi , Zhetu Daniel Gabriel , Kamak Shedrach Yamlach
Published: September 2024

Establishing and assessing appropriate predictive analytics model to forecast the likelihood of in-hospital death among heart failure patients admitted to ICU is the primary objective of this study. The research conducted a retrospective examination of health records obtained from MIMIC-III, a heterogeneous group of intensive care unit-admitted patients with heart failure. The research used machine learning algorithms, including Random Forest (RF), Support Vector Machine (SVM), Extreme Gradient Boost (XGB), and Light Gradient Boost (LGB), to construct a prediction model using demographic data, vital signs, laboratory findings, and clinical history. To improve the accuracy and performance of the model, feature selection methods and cross-validation are employed. Predictive factors that contribute to the likelihood of in-hospital mortality among heart failure patients in a controlled environment of the ICU are anticipated to be identified in this research. Precision, Metrics such as Recall, F1-score, Area Under the Receiver Operating Characteristic Curve (AUROC), and K-fold Cross-validation were used to assess the performance of the model. This research aims to improve patient management outcomes, and makes valuable contribution to the expanding domain of predictive analytics in healthcare by enabling individualized and focused treatments, which eventually enhance the standard of care delivered to ICU patients suffering from heart failure. The potential of predictive analytics to improve clinical decision-making for patients with heart failure in intensive care units is highlighted in this work.
An Improved Conversational Chatbot Marketing System Case on FedEx
Authors: Linus Kevin Destiny , Isaac Samson , Ja'afaru Amina Bala
Published: September 2024

This paper presents an innovative approach to enhancing conversational chatbot marketing systems. In a digital world, customer engagement and service personalization are paramount, and chatbots play a crucial role in this transformation. Fast forwarding to today's digital fast-paced landscape, enhancing customer interaction and service efficiency using chatbots is paramount for global logistics and courier delivery servicing companies like Federal Express FedEx. This study presents the development and integration of an improved conversational chatbot marketing system using the Rasa architecture framework. The aim of this research is to improve an existing chat bot conversational marketing system (case-on FedEx). The system will be able to give in response more accurately with respect to the user input on the messaging platform. With the vital objectives of integrating the system using RASA a machine learning framework for building conversational AI based Chatbot system. The system should be able to provide links to website home page, FAQs page and logs that the admin can see questions not answer and admin will provide the answer respectively, covering many marketing related areas. Rasa framework was chosen for its robust capabilities in building context-aware and intelligent chatbots.. The results indicate a significant reduction in response times, increased customer satisfaction, and higher engagement rates. The chatbot's ability to handle repetitive tasks and common queries allowed human agents to focus on more complex issues, thereby improving overall efficiency. This case study demonstrates the potential of advanced conversational AI systems in revolutionizing customer service and marketing strategies in the logistics industry, setting a new benchmark for digital transformation initiatives. The future work of this research will focus on further refining the chatbot's capabilities, expanding its scope to include predictive analytics, and exploring its application in other operational areas within FedEx