bluuebunny/crossref_metadata_2025 huggingface dataset:
ZG Raiffeisen-Gruppe
Authors: Pionke Stefanie
Published: July 2024

Der Future Check 2024 nimmt die elf Top-Unternehmen des Agrarhandels in Deutschland unter die Lupe. Der 12. und letzte Teil der mehrwöchigen Serie beschäftigt sich mit der ZG Raiffeisen aus Karlsruhe. In ihrem Stammgebiet in Baden hat die ZG eine recht komfortable Position mit wenig Konkurrenz. Größter Umsatzbringer ist die Energie, noch vor dem Geschäftsbereich Agrar. Der Umsatz ist wie bei vielen anderen auch zuletzt wieder gesunken, aber die Hauptkennzahlen entwickelten sich positiv.
Experiences in Training Teachers at Universities in Baja California on Generative AI
Authors: Mendoza Karla Karina Ruiz , Arteaga Ma. Antonia Miramontes , Villapudua Karla Yudit Castillo
Published: July 2024

This study explores the integration of generative artificial intelligence, especially models such as ChatGPT, into teacher training, highlighting both the promises and challenges of adopting advanced technologies in an educational context. Through a course titled "Introduction to Generative Artificial Intelligence for Teachers," 97 educators from various universities in Baja California participated, spanning a wide range of ages. The qualitative methodology adopted allowed an in-depth exploration of teachers' perceptions, experiences, and expectations regarding AI in education. Results showed a generally positive evaluation of the course, with significant emphasis on the importance of AI in transforming educational practices. Approximately 41.38% of the comments highlighted the potential of gen AI to support and enhance teaching and learning. Additionally, there was a clear interest in deepening knowledge about AI, as well as a need for ongoing training strategies. However, the study also emphasizes critical reflections on the ethical and practical challenges of integrating AI into education, underscoring the importance of a reflective and ethical approach. The demand for gen AI training by educational institutions indicates a global trend toward the adoption of these technologies. The study concludes with recognition of the potential of AI to enrich pedagogy, provided that the associated risks are considered, and ethical and effective adoption is promoted.
Mitigation of Pressure Injuries Utilizing Machine Learning and an Inertial Wearable
Authors: Trutschl Maya , Cvek Urska , L. Brumley Andrea , A. Conrad Steven , Trutschl Marjan
Published: July 2024

Pressure ulcers, or pressure injuries, are localized areas of skin and/or underlying tissue necrosis that typically occur over bony prominences due to a prolonged pressure or friction. They can lead to serious morbidity and mortality, emphasizing the need for prevention. This project utilizes a database of demographic and clinical features of a large patient data set and applies machine learning to determine the higher risk patients, coupled with a complimentary device to assist in the prevention of pressure injuries. A complementary monitoring system is built based on an inertial wearable utilizing an inexpensive microcontroller and a gyroscope. The combined approach is evaluated, fine-tuned, and assessed based on different performance metrics.
Uma revisão de estudos sobre o ensino e aprendizagem de razão e proporção
Authors: Nascimento Iales Oliveira , Jucá Rosineide de Sousa
Published: July 2024

Este artigo é um recorte de uma pesquisa de mestrado em andamento do Programa de Pós-Graduação em Educação da Universidade do Estado do Pará e tem por objetivo apresentar uma revisão de estudos que tratam sobre o ensino e aprendizagem de razão e proporção na Educação Básica, com ênfase nos anos finais do Ensino Fundamental. O interesse pelo estudo se justifica em aprofundar uma investigação acerca do que tem sido produzido como propostas de ensino nesse tema com intenção de favorecer a aprendizagem e o desenvolvimento do raciocínio proporcional dos estudantes. A pesquisa é do tipo bibliográfica e exploratória desenvolvida a partir de um levantamento de estudos no Catálogo de Teses e Dissertações da Capes no período de 2012 a 2022. Até o momento, conseguimos revisar 24 estudos e os resultados apontaram que a utilização da regra de três ou do produto cruzado como estrutura predominante no ensino da proporcionalidade tem limitado o pensamento criativo e diferenciado dos alunos. Essa abordagem facilita a resolução de problemas específicos, como os de valor omisso, porém impede um aprendizado mais significativo e qualitativo do raciocínio proporcional. Em contra partida, os experimentos de ensino demonstraram melhorias no aprendizado dos alunos, pois eles passaram a dominar os conceitos de razão e proporção, reconhecendo situações proporcionais diretas e inversas.
Formação continuada de professores no contexto dos planos decenais (2014-2025) pela análise da produção acadêmico-científica
Authors: Oliveira Dalva Ricas de , Bitencourt Juverci Fonseca , Ventorim Silvana
Published: July 2024

É um estudo de revisão que analisou teses e dissertações, do banco da Capes entre os anos 2014 e 2021, sob análise dos pressupostos de Certeau (1994, 2012, 2015), categorizando os textos com leitura aprofundada, cruzando com o uso do aplicativo de análise textual, Iramuteq. Utiliza como referência a produção de Nóvoa (2009, 2017), André (2010), Ball e Mainardes (2011, 2015). Analisa a formação continuada no contexto dos planos decenais de educação, nacional, estaduais e municipais, com objetivo de evidenciar os movimentos teórico-metodológicos que sustentaram a discussão a respeito da formação, bem como destacar fragilidades e desafios da área voltadas à formação continuada de professores da educação básica. Como resultado, apresenta uma baixa produção que estabelece a relação entre PNE, PEEs e PMEs. Aponta a predominância do materialismo histórico-dialético e o uso de autores nacionais nos estudos e um alinhamento das políticas de formação centrada na lógica mercadológica e meritocrática.
Gestão democrática: a construção de uma escola inclusiva
Authors: Cardozo Maria José Pires Barros , Ramos Melcka Yulle Conceição , Pereira Ivaldina Santos
Published: July 2024

O presente artigo discorre sobre a relação entre a gestão democrática e a construção de uma cultura escolar inclusiva, por meio da atuação da comunidade escolar, em especial da professora da sala de aula regular e da professora de Atendimento Educacional Especializado (AEE), no âmbito da inclusão escolar das crianças autistas. Para tanto, realizamos revisão bibliográfica e documental, especificamente o Plano Municipal de Educação (2014-2024) e a Proposta Curricular da Educação Infantil e Ensino Fundamental da Rede Pública Municipal De São Luís – MA (2023). Durante a pesquisa realizada em uma escola da rede pública municipal de São Luís, MA, que oferta a Educação Infantil, analisamos os princípios norteadores que orientam as decisões sobre o trabalho didático-pedagógico da escola, identificamos as adaptações administrativas, pedagógicas e curriculares realizadas, bem como analisamos a implementação do Plano Educacional Individualizado (PEI) das crianças com necessidades educacionais especiais. A base teórico-metodológica, de natureza qualitativa, possibilitou a análise dos dados advindos das observações e participação na gestão escolar e na sala de aula, aos quais demonstram que a construção da escola inclusiva requer a autonomia e a participação dos sujeitos da comunidade escolar na organização e gestão escolar, de forma que a instituição promova o acesso aos conhecimentos historicamente sistematizados, via processos de aprendizagem e desenvolvimento aos estudantes, sobretudo aqueles com necessidades educacionais especiais.
FACTOR VALIDITY AND SENSITIVITY OF THE SCALE FOR ASSESSMENT
OF ATTITUDES TOWARDS SPORTS INCLUSION OF CHILDREN AND YOUTH
WITH INTELLECTUAL DISABILITIES
Authors: Nikolić Milena , Šeatović Stevan
Published: July 2024

This work aims to examine the factor validity and sensitivity of the Scale for assessment of attitudes towards sport's inclusion of children and youth with intellectual disabilities. The study included 155 respondents from the general population over 18 years of age from Bosnia and Herzegovina. The working version of the Scale contained 29 items, and after content validity, the final version had 34 items. The items were subjected to the calculation of the internal consistency coefficient of Cronbach's alpha, as well as reliability assessment by calculating the inter-item statistics. Four rounds of factor analysis were conducted, and the three-factor model was retained, explaining 50.43% of the total variance. The set of 34 items reduced to 21 based on the obtained results. The internal reliability coefficient of = 0.90 indicates that the Scale has excellent reliability and internal agreement. The results of the Kolmogorov-Smirnov test (KS = 0,058, df = 155, p = 0,200) show that the obtained distribution of the Scale does not deviate statistically significantly from the normal distribution. Results indicate that the Scale can be used in future research on the general population's attitudes towards the sport's inclusion of children and youth with intellectual disabilities.Key words: attitudes, sports inclusion, reliability, sensitivity, exploratory factor analysis.
CONTRIBUTION OF LECTURERS IN IMPROVING STUDENT ETHICS AND MORALS IN THE DIGITAL AGE ACCORDING TO AN AXIOLOGICAL PERSPECTIVE
Authors: Putri Anggi Ariska , Nurhuda Abid , Ansori Inamul Hasan , Lathif Nur Muhammad
Published: July 2024

The development of science and technology as a digital world provides opportunities and challenges, one of which is the moral crisis for the younger generation, especially students who are agents of change, which means changing from bad things to good. This, of course, cannot be separated from the role and contribution of lecturers in instilling character in their students. So the purpose of this study is to describe the Contribution of Lecturers in Improving Student Ethics and Morals in the Digital Age According to an Axiological Perspective. The method used was a literature review, while the data was collected using careful observation techniques and then the contents were analyzed and finally concluded. The results of the study show that the Contribution of Lecturers in Improving Student Ethics and Morale in the Digital Age According to an Axiological Perspective includes instilling ethical and moral values, providing good examples and role models, implementing an integrated curriculum, wise use of technology, providing opportunities for discussion and reflection, providing feedback behind that builds, becomes a place for stories for students, and finally supports social activities.Keywords: Axiology, Ethics, Morals, Lecturers, Students
OCCUPATIONAL THERAPIST PRACTITIONERS’ PERCEPTIONS OF CONTINUING EDUCATION FOR NEUROREHABILITATION: A QUALITATIVE STUDY
Authors: Kane Terrel , Carsone Blair
Published: July 2024

Occupational therapists are required to obtain CE units to ensure professional competency. This study examined occupational therapy practitioners to understand: What are OTPs’ perceived challenges and CE needs when working with populations with neurological impairments? And how can CE courses be tailored towards addressing these challenges and gaps in knowledge effectively? There were 14 responses and 6 themes identified. Participants indicated if they had access to supportive resources as well as their preferred mode of delivery for CE. The findings of this study can be used to identify the preferences, specific clinical skillsets currently used, and gaps in supportive resources. Keywords: continuing education, occupational therapy, perceptions, neurorehabilitation
FACTORS INFLUENCING THE NON-USE AND ABANDONMENT OF ASSISTIVE TECHNOLOGY
Authors: Pinjatela Renata
Published: July 2024

Assistive technology is recognised as a necessary tool to improve the quality of life of people with disabilities. The use of assistive technology and the quality of related services varies from country to country. However, in most countries, there are some factors that influence the non-use or abandonment of assistive technology.This paper aim is to present the results of studies published in the period between 2015 and 2023 on the factors of non-use and/or abandonment of AT published in the articles cited in the Web of Science database. It also presents some results of three studies conducted in Croatia.The results show that difficulties in not using and abandonment AT appear in different social and cultural settings. Some of the most common factors identified were the health condition of the user, problems with use, inappropriate AT, lack of training of users and experts, lack of support, non-involvement of users in the AT design, etc.The non-use and abandonment of AT can harm the quality of life of people with disabilities. Many factors can influence AT abandonment. It is necessary to determine which factors influence the non-use and refusal to use assistive devices and which types of AT are most frequently not used. Understanding these factors is the first step in reducing the problem. Keywords:assistive technology, non-use, abandonment
ENVIRONMENTAL RISK FACTORS IN A CHILDREN WITH DYSLEXIA
Authors: Duranović Mirela , Kobelja Lidija , Andrejaš Matea
Published: July 2024

The aim of this study was to analyze various environmental factors influencing dyslexia to enhance our understanding of its risk factors, including the exposure of mothers of dyslexic children to potential negative developmental influences, perinatal and postnatal developmental characteristics of dyslexic children, genetic predisposition, socioeconomic status, and reading exposure in dyslexic children.Mothers of both dyslexic and non-dyslexic children took part in the study. The home literacy environment and the development of motor skills emerge as significant risk indicators for dyslexia. These findings hold profound implications for public health, emphasizing the critical importance of early childhood in providing children with the best possible educational opportunities.Key words:risk factors, dyslexia, child development, developmental influences, home literacy environment
“Emerging Occupational Risks in a Pharmaceutical Company Under Industry 4.0: An Assessment Using TICHNER and HIRAC Tools”
Authors: Victoria Joy Pama  , Francispito Quevedo  , Venusmar Quevedo
Published: July 2024

Abstract: The integration of Industry 4.0 technologies within the pharmaceutical manufacturing sector aligns with broader industrial objectives, aiming to enhance productivity and adaptability while meeting challenging standards for product quality and diversity while maximizing efficiency. However, this shift is not risk-free. This particularly concerns the well-being of workers which is one of the top concerns shared by manufacturers. As the industry navigates this transition, it is imperative to prioritize the safety of personnel. The rapid pace of technological innovation within pharmaceutical manufacturing carries significant implications, introducing new and emerging risks. Consequently, proactive identification and assessment of these potential threats are essential to effectively mitigate their impact and ensure preparedness for forthcoming changes. To address this gap, this study provides an approach for identifying potential sources and significant factors contributing to its increasing risks in implementing Industry 4.0 in manufacturing industries. This set of sources and factors was evaluated in a medium-sized pharmaceutical manufacturing company aided by TICHNER and HIRAC Tools through a mixed-method approach. The combination of these tools facilitates the identification, characterization, and analysis of new and emerging risks associated with Industry 4.0 implementation. The findings of the study showed that Psychosocial Hazards and Work Experience/ Knowledge are the most common potential sources of Psychological Risks, Unemployment, and Need for Qualified Workers. The approach will allow manufacturers to proactively manage the new and emerging challenges brought by Industry 4.0 and safeguard the well-being of the workforce.
Comprehensive approach to claim assessment in construction project
Authors: Muritala Omeiza Umar  , Adah Dominic Ochigbo
Published: July 2024

Effective claim management is crucial in construction projects to ensure fair resolution of disputes, control costs, and maintain project schedules. This article analyzes the claim assessment practices in construction projects across four regions: Malaysia, the United Kingdom (UK), Vietnam, and Lagos (Nigeria). By examining successful claim assessments, identifying lessons from disputed claims, and conducting a comparative analysis, the study uncovers effective strategies and common challenges in claim management. Key findings highlight the importance of comprehensive documentation, proactive claim management, and the use of advanced tools such as Building Information Modeling (BIM) and Project Management Information Systems (PMIS). Successful projects often employed robust documentation practices, clear communication channels, and advanced analytical tools to resolve claims efficiently. Lessons learned emphasize the necessity of clear contract terms, regular training for site staff, and standardized procedures to mitigate disputes. Recommendations for practitioners include implementing robust documentation practices, adopting proactive claim management, enhancing communication and collaboration, using advanced analytical tools, and engaging independent experts. The article also identifies areas for future research, such as the impact of emerging technologies, the effectiveness of Integrated Project Delivery (IPD), and the role of Continuous Professional Development (CPD) programs in enhancing claim management skills. By adopting these best practices and addressing identified challenges, project stakeholders can improve the efficiency, accuracy, and fairness of claim assessments, contributing to the successful completion of construction projects.
Keywords:  Claim, Construction, Contract, Delay, Documentation, Management, Project.
Revolutionizing procurement processes in LNG operations: A synthesis of agile supply chain management using credit card facilities
Authors: Augusta Heavens Ikevuje  , David Chinalu Anaba  , Uche Thankgod Iheanyichukwu
Published: July 2024

Revolutionizing procurement processes in LNG operations is essential for ensuring efficient and cost-effective supply chain management. This paper presents a synthesis of agile supply chain management (SCM) principles using credit card facilities to streamline procurement processes in LNG operations. The integration of credit card facilities offers a flexible and efficient alternative to traditional procurement methods, enabling LNG companies to adapt quickly to changing market conditions and customer demands. The paper begins by discussing the challenges faced by LNG operations in traditional procurement processes, including lengthy approval processes, limited supplier options, and lack of transparency. It then introduces the concept of agile SCM and its principles, highlighting its potential to address these challenges and improve procurement efficiency. The synthesis of agile SCM principles with credit card facilities is explored in detail, focusing on how this approach can transform procurement processes in LNG operations. By utilizing credit card facilities, LNG companies can simplify the procurement process, reduce paperwork, and improve transaction speed. This approach also offers greater flexibility in supplier selection, allowing companies to quickly onboard new suppliers and respond to market changes. The paper also discusses the benefits of this approach, including cost savings, improved supplier relationships, and enhanced operational efficiency. Case studies and examples are provided to illustrate the application of agile SCM using credit card facilities in LNG operations. In conclusion, the synthesis of agile SCM principles with credit card facilities offers a transformative approach to procurement in LNG operations. By adopting this approach, LNG companies can enhance their competitive advantage, improve procurement efficiency, and drive overall operational excellence in the LNG industry.
Keywords:  Revolutionizing, Procurement Processes, LNG Operations, Credit Cards Facilities, Agile Supply Chain Management.
PERAN MANAJEMEN ASET TETAP DAN PENGENDALIAN INTERNAL TERHADAP KUALITAS LAPORAN KEUANGAN PEMERINTAH DAERAH (Studi Kasus BPKAD Kabupaten Bangkalan)
Authors: Safitri Maulinda , Halizah Fifin Nur , Aidatul Fitriyah RA Nurur Rohmah , Kurniawan Alvin , Kurniawan Alvin , Djasuli Mohamad
Published: July 2024

Aset tetap merupakan salah satu permasalahan yang sering menjadi perhatian dalam penyusunan dan pelaporan Laporan Keuangan Pemerintah Daerah (LKPD), karena mempunyai nilai investasi relatif signifikan dan komponen kekayaan terbesar sehingga perlu dilakukan manajemen aset tetap untuk menciptakan kewajaran laporan keuangan, akan tetapi dalam manajemen aset tetap tidaklah mudah dan perlu ditunjang oleh pengendalian internal yang sesuai dengan peraturan. Pengendalian ini pastinya dirancang guna dalam memberikan sebuah keyakinan untuk satu tujuan yang salah satunya untuk keandalan atas pelaporan keuangan Penelitian ini dilakukan untuk mengetahui mengenai peran manajemen aset tetap dan pengendalian internal terhadap kualitas laporan keuangan pemerintah daerah. Metode penelitian yang digunakan adalah kualitatif deskriptif dengan jenis data primer berupa observasi dan wawancara, sedangkan data sekunder yang diperoleh melalui studi literatur. Hasil penelitian menunjukkan bahwa manajemen aset tetap dan pengendalian internal memiliki peran terhadap kualitas laporan keuangan pemerintah daerah.
ANALISIS LAPORAN REALISASI ANGGARAN DAN SISA LEBIH PERHITUNGAN ANGGARAN (SiLPA) DANA DESA PADA DESA BAILANGU TIMUR KECAMATAN SEKAYU KABUPATEN MUSI BANYUASIN
Authors: Supra Deswati , Asoka Rano
Published: July 2024

This study aims to research about of the 2020-2022 Budget as well as the Analysis of the Budget Realization Report and the 2020-2022 Budget Remaining Balance (SiLPA) and to analyze the treatment of the Remaining Budget Calculation (SiLPA) as well as the Realization of the 2020 to 2022 Budget. This research used a qualitative descriptive method. and was carried out at the Bailangu Timur Village, Sekayu District, Musi Banyuasin Regency. Research data sources in the study used were secondary data. Data collection techniques used in this research were documentation studies, interviews, and literature studies. The results of this study indicated that the Village Fund managed by Bailangu Timur Village, Sekayu District, was a fund sourced from the State Budget (APBN) which was transferred through the APBD (Regional Expenditure Budget), namely In 2020 the budget was Rp. 1,424,279,000, -, in 2021 Budget was Rp. 1,375,607,000, -, and in 2022 the budget was Rp. 1,319,080,000.-. and based on the realization from Bailangu Timur Village in 2020 to 2022 each had a Remaining Budget Calculation (SiLPA) which had been re-budgeted with the same or different activities in that period.
CONTABILIDADE EM EMPRESAS DE PEQUENO PORTE: UMA ABORDAGEM ESTRATÉGICA PARA O GERENCIAMENTO FINANCEIRO E TOMADA DE DECISÕES
Authors: Almeida Francisca Jucassia do Vale , Chagas Milton Jarbas Rodrigues
Published: July 2024

O presente estudo teve como objetivo compreender importância da contabilidade gerencial como uma ferramenta estratégica para empresas de pequeno porte do Ceará. Este estudo se justifica pela importância estratégica da contabilidade para empresas de pequeno porte, as quais desempenham um papel vital na economia, contribuindo significativamente para a geração de empregos e o crescimento econômico. No entanto, muitas enfrentam desafios únicos relacionados ao gerenciamento financeiro e à tomada de decisões, muitas vezes devido à falta de recursos e expertise contábil. Trata-se de uma pesquisa descritiva exploratória de abordagem quantitativa. A amostra da pesquisa consistiu com a participação de 10 empresas, incluindo 7 empresas comerciais e 3 prestadoras de serviços localizadas em Iguatú- CE. A coleta de dados contou com a distribuição online dos questionários por meio das redes sociais como whatsapp, e-mail e Instagram. Esse questionário foi construído utilizando o google forms. Os resultados desta investigação oferecem evidências sólidas de que a correta utilização das informações contábeis está diretamente relacionada ao desempenho financeiro das MPEs. A análise quantitativa revelou que a adoção de práticas contábeis apropriadas contribui para o aumento da rentabilidade, minimização de desperdícios e melhoria da liquidez das empresas estudadas. Essas descobertas demonstram a relevância da contabilidade como ferramenta estratégica para a tomada de decisões financeiras.
Maximizing the Use of Pandora Data for Scientific Applications
Authors: Rawat Prajjwal , Crawford James H. , Travis Katherine R. , Judd Laura M. , Demetillo Mary Angelique G. , Valin Lukas C. , Szykman James J. , Whitehill Andrew , Baumann Eric , Hanisco Thomas F.
Published: July 2024

Abstract. As part of the Pandonia Global Network (PGN), Pandora spectrometers are widely deployed around the world. These ground-based, remote-sensing instruments are federated such that they employ a common algorithm and data protocol for reporting on trace gas column densities and lower atmospheric profiles using two modes based on direct-sun and sky-scan observations. To aid users in the analysis of Pandora observations, the PGN standard quality assurance procedure assigns flags to the data indicating high, medium, and low quality. This work assesses the suitability of these data quality flags for filtering data in the scientific analysis of nitrogen dioxide (NO2) and formaldehyde (HCHO), two critical precursors controlling tropospheric ozone production. Pandora data flagged as high quality assures scientifically valid data and is often more abundant for direct-sun NO2 columns. For direct-sun HCHO and sky-scan observations of both molecules, large amounts of data flagged as low quality also appear to be valid. Upon closer inspection of the data, independent uncertainty is shown to be a better indicator of data quality than the standard quality flags. After applying an independent uncertainty filter, Pandora data flagged as medium or low quality in both modes can be demonstrated to be scientifically useful. Demonstrating the utility of this filtering method is enabled by correlating contemporaneous but independent direct-sun and sky-scan observations. When evaluated across 15 Pandora sites in North America, this new filtering method increased the availability of scientifically useful data by as much as 90 % above that tagged as high quality. A method is also developed for combining the direct-sun and sky-scan observations into a single dataset by accounting for biases between the two observing modes and differences in measurement integration times. This combined data provides a more continuous record useful for interpreting Pandora observations against other independent variables such as hourly observations of surface ozone. When Pandora HCHO columns are correlated with surface ozone measurements, data filtered by independent uncertainty exhibits similarly strong and more robust relationships than high-quality data alone. These results suggest that Pandora data users should carefully assess data across all quality flags and consider their potential for useful application to scientific analysis. The present study provides a method for maximizing use of Pandora data with expectation of more robust satellite validation and comparisons with ground-based observations in support of air quality studies.
ZEMBA v1.0: An energy and moisture balance climate model to investigate Quaternary climate
Authors: Gunning Daniel Francis James , Nisancioglu Kerim Hestnes , Capron Emilie , van de Wal Roderik
Published: July 2024

Abstract. A Zonally-Averaged Energy and Moisture BAlance Climate Model (ZEMBA) is introduced as a simple and computationally efficient tool for studies of the glacial-interglacial cycles of the Quaternary. The model is based on an energy balance model comprising an atmospheric layer, a land component and a two-dimensional ocean transport model with sea ice. In addition, ZEMBA replaces temperature with moist static energy for calculations of diffusive heat transport in the atmospheric layer and includes a hydrological cycle for simulating precipitation and snowfall. Prior to coupling with an ice sheet model, we present and evaluate equilibrium simulations of the model for the pre-industrial period and the Last Glacial Maximum, using prescribed land ice fractions and elevation. In addition, we test the sensitivity of ZEMBA to a doubling of the atmospheric CO2 concentration and a 2 % increase in solar radiation at the top of the atmosphere. Compared to a global climate model (NorESM2) and reanalysis data (ERA5), ZEMBA reproduces the zonally-averaged climate of the pre-industrial period with reasonable accuracy, capturing features such as surface temperature, precipitation, radiative fluxes, snow cover, sea ice cover and meridional heat transport. The response of ZEMBA to increasing CO2 concentrations is qualitatively similar to the observational record and climate models of higher complexity, including a polar amplification over the northern hemisphere and during the winter months. The globally-averaged rise in surface air temperature for a doubling in CO2 is 3.6 °C. Finally, ZEMBA shows success in emulating changes in surface temperature and precipitation during the Last Glacial Maximum when compared to reconstructions and global climate models.
The Effectiveness of Agricultural Carbon Dioxide Removal using the University of Victoria Earth System Climate Model
Authors: Evans Rebecca Chloe , Matthews H. Damon
Published: July 2024

Abstract. A growing body of evidence suggests that to achieve the temperature goals of the Paris Agreement, carbon dioxide removal (CDR) will likely be required in addition to massive carbon dioxide (CO2) emissions reductions. Nature-based CDR, which includes a range of strategies to sequester carbon in natural reservoirs, could play an important role in efforts to limit climate warming to well below 2 °C above preindustrial levels. Agricultural CDR could enhance soil carbon sequestration, though the climate efficacy of such methods remains uncertain. Here, we use an intermediate complexity climate model to perform simulations of agricultural CDR in the form of soil carbon sequestration at a range of possible rates for different costs under three future emissions scenarios. We found that plausible levels of agricultural CDR were able to reduce CO2 concentration by 5–19 ppm and global surface air temperature by 0.02–0.10 °C by the end of century. This temperature decrease was non-linear with respect to cumulative removals, as any carbon removed remained part of the active carbon cycle, lessening the climate benefit compared to if the removed carbon was permanently stored in geological reservoirs. CDR was found to be more effective at reducing surface air temperature in low emissions scenarios, but less effective at reducing atmospheric CO2, compared to high emissions scenarios. This was because the weaker CO2 sinks in a high CO2 world had a more muted response to removal, so a substantially higher proportion of carbon was removed from the atmosphere for a given amount of CDR in a higher emissions scenario. The enhanced temperature response to CDR in lower emissions scenarios was due to the logarithmic response of radiative effects to changes in CO2, where at low atmospheric CO2 concentrations, small changes in CO2 are more effective at changing the global radiative balance than at higher CO2 concentrations. CDR was substantially more effective when implemented at a higher rate, as CDR makes a proportionally larger difference in a climate with lower cumulative air fraction of CO2. Land and soil carbon responses were driven by the scenario-dependent balances between the impacts of CDR on primary productivity from CO2 fertilization, and the impacts on soil respiration from increased soil carbon availability and global temperatures.
Laboratory heat transport experiments reveal grain size and flow velocity dependent local thermal non-equilibrium effects
Authors: Lee Haegyeong , Gossler Manuel , Zosseder Kai , Blum Philipp , Bayer Peter , Rau Gabriel C.
Published: July 2024

Abstract. Heat transport in porous media is crucial for gaining earth science process understanding and engineering applications such as geothermal system design. While heat transport models are commonly simplified by assuming local thermal equilibrium (LTE, solid and fluid phases are averaged), local thermal non-equilibrium (LTNE, solid and fluid phases are considered separately) heat transport has long been hypothesized and reports have emerged. However, experiments with realistic grain sizes and flow conditions are still lacking in the literature. To detect LTNE effects, we conducted comprehensive laboratory heat transport experiments at Darcy velocities ranging from 3 to 23 m d−1 and measured the temperature of fluid and solid phases separately for glass spheres with diameters of 5, 10, 15, 20, 25 and 30 mm. Four replicas of each size were embedded at discrete distances along the flow path in small glass beads to stabilize the flow field. Our sensors were meticulously calibrated and measurements were post-processed to reveal LTNE, expressed as the difference between solid and fluid temperature during the passing of a thermal step input. To gain insight into the heat transport properties and processes, we simulated our experimental results in 1D using commonly accepted analytical solutions for LTE and a numerical solution of LTNE equations. Our results demonstrate significant LTNE effects with increasing grain size and water flow velocity. Surprisingly, some temperature differences were negative indicating that the heat front propagates non-uniformly likely caused by spatial variations of the flow field. The fluid temperature modeled by the LTE analytical solution exhibited relatively good agreement with experimental fluid temperature only for grain sizes from 5 mm to 15 mm. However, for larger grain sizes (between 20 mm and 30 mm), the temperature difference between fluid and solid phases became too significant to be represented by an LTE model. Additionally, for larger grain sizes (≥ 20 mm), the LTNE model failed to predict the magnitude of LTNE for all tested flow velocities due to experimental conditions being inadequately represented by the 1D model with ideal step input. Future studies should employ more sophisticated numerical models to examine the heat transport processes and accurately analyze LTNE effects, considering non-uniform flow effects and multi-dimensional solution. This is essential to determine the validity limits of LTE conditions for heat transport in natural systems such as gravel aquifers with grain sizes larger than 20 mm.
The European summer heatwave 2019 – a regional storyline perspective
Authors: Klimiuk Tatiana , Ludwig Patrick , Sanchez-Benitez Antonio , Goessling Helge F. , Braesicke Peter , Pinto Joaquim G.
Published: July 2024

Abstract. The number and intensity of heat waves have increased in the recent past, along with anthropogenic climate change. This poses challenges to many communities and raises the need to develop adaptation measures based on more accurate information regarding regional to local changes in temperature extremes and their impacts. While the general increase in global mean temperature is well established, current global climate projections show a large model spread regarding possible future circulation changes. To isolate the more certain thermodynamic response from the less certain dynamical response to anthropogenic climate change, we employ an event-based storyline approach comprising three steps. Firstly, the large-scale circulation in the free troposphere was spectrally nudged to the ERA5-reanalyses in the global coupled climate model AWI-CM-1.1-MR for a recent period (2017–2022), corresponding to +1.4 K global warming, and repeated under pre-industrial, +2 K, +3 K, and +4 K global warming climates. Secondly, the global storylines were dynamically downscaled with the regional ICON-CLM model to the Euro-CORDEX domain with a horizontal resolution of 12 km and, thirdly, to a Central-European (German) domain with a resolution of 3 km. The present study focuses on the 2019 summer heatwaves over Central Europe. We demonstrate the added value of downscaling global storyline integrations, indicating a significant improvement in present-day temperature patterns and a reduced error in daily 2 m temperature relative to observations in Central Europe. The magnitude of the heatwave temperature response significantly exceeds the globally modelled background warming, with a distinct spatial and temporal variation in the regional increments. Our simulations indicate a general linear dependency of the 2 m temperature response to the global warming level: the warming rates during the July 2019 heatwave ranged between factors of 2 and 3 in Central Europe, resulting in an anthropogenic warming of 8 to 12 °C in the +4 K climate. The spatial extent and the duration of the heat wave are also amplified in the warmer climates. With this three-step downscaling approach, we gain new insights into possible future changes in heat extremes in Central Europe, which apparently surpass global warming trends. Along with its scientific value, our method provides ways to facilitate communication of regional climate change information to the users.
When ancient numerical demons meet physics-informed machine learning: adjoint-based gradients for implicit differentiable modeling
Authors: Song Yalan , Knoben Wouter J. M. , Clark Martyn P. , Feng Dapeng , Lawson Kathryn , Sawadekar Kamlesh , Shen Chaopeng
Published: July 2024

Abstract. Recent advances in differentiable modeling, a genre of physics-informed machine learning that trains neural networks (NNs) together with process-based equations, have shown promise in enhancing hydrological models' accuracy, interpretability, and knowledge-discovery potential. Current differentiable models are efficient for NN-based parameter regionalization, but the simple explicit numerical schemes paired with sequential calculations (operator splitting) can incur numerical errors whose impacts on models' representation power and learned parameters are not clear. Implicit schemes, however, cannot rely on automatic differentiation to calculate gradients due to potential issues of gradient vanishing and memory demand. Here we propose a “discretize-then-optimize” adjoint method to enable differentiable implicit numerical schemes for the first time for large-scale hydrological modeling. The adjoint model demonstrates comprehensively improved performance, with Kling–Gupta efficiency coefficients, peak-flow and low-flow metrics, and evapotranspiration that moderately surpass the already-competitive explicit model. Therefore, the previous sequential-calculation approach had a detrimental impact on the model's ability to represent hydrological dynamics. Furthermore, with a structural update that describes capillary rise, the adjoint model can better describe baseflow in arid regions and also produce low flows that outperform even pure machine learning methods such as long short-term memory networks. The adjoint model rectified some parameter distortions but did not alter spatial parameter distributions, demonstrating the robustness of regionalized parameterization. Despite higher computational expenses and modest improvements, the adjoint model's success removes the barrier for complex implicit schemes to enrich differentiable modeling in hydrology.
Turbine- and farm-scale power losses in wind farms: an alternative to wake and farm blockage losses
Authors: Kirby Andrew , Nishino Takafumi , Lanzilao Luca , Dunstan Thomas D. , Meyers Johan
Published: July 2024

Abstract. Turbine-wake and farm-atmosphere interactions can reduce wind farm power production. To model farm performance, it is important to understand the impact of different flow effects on the farm efficiency (i.e., farm power normalised by the power of the same number of isolated turbines). In this study we analyse the results of 43 large-eddy simulations (LES) of wind farms in a range of conventionally neutral boundary layers (CNBLs). First, we show that the farm efficiency ηf is not well correlated with the wake efficiency ηw (i.e., farm power normalised by the power of front row turbines). This suggests that existing metrics, classifying the loss of farm power into wake loss and farm blockage loss, are not best suited for understanding large wind farm performance. We then validate the assumption of scale separation in the two-scale momentum theory (Nishino & Dunstan, J. Fluid Mech., vol. 894, 2020, p. A2) using the LES results. Building upon this theory, we propose two new metrics for wind farm performance, a turbine-scale efficiency ηTS, reflecting the losses due to turbine-wake interactions, and a farm-scale efficiency ηFS, indicating the losses due to farm-atmosphere interactions. The LES results show that ηTS is insensitive to the atmospheric condition, whereas ηFS is insensitive to the turbine layout. Finally, we show that a recently developed analytical wind farm model predicts ηFS with an average error of 5.7 % from the LES results.
Medidas preventivas de pneumonia associada à ventilação mecânica em idosos: revisão integrativa
Authors: Leite Maria Amanda Pereira , Dantas de Freitas Fernanda Beatriz , Pessoa da Rocha Leal Natalia , De Lima Vila Nova Felícia Augusta , Pereira dos Santos Wallison , De Farias Pontes Maria de Lourdes
Published: July 2024

Objetivo: identificar as evidências científicas sobre os cuidados de Enfermagem voltados à prevenção da Pneumonia Associada à Ventilação Mecânica em idosos.  Metodologia: trata-se de uma revisão integrativa da literatura, com busca nas bases de dados (PUBMED/MEDLINE, CINAHL) e biblioteca virtual (SciELO), com a utilização da estratégia de busca PICO. Consideraram-se publicações dos últimos 10 anos, resultando em 172 estudos, após a aplicação dos critérios de inclusão, exclusão, e leitura criteriosa, sobraram 10 manuscritos para a amostra final. Resultados: houve predominância de estudos publicados no Brasil, quanto ao ano de publicação, constatou-se uma heterogeneidade temporal. Todas as investigações abordaram a prevenção da pneumonia associada à ventilação mecânica como um grande desafio das unidades de terapia intensiva, sendo os cuidados em comum encontrados na maioria dos estudos:  higiene bucal, aspiração traqueal, monitorização de pressão de cuff, elevação da cabeceira do leito e cuidados com circuitos do ventilador, além de achados importantes no que se refere à pessoa idosa, como: cuidados nutricionais, avaliação adequada do nível de consciência e traqueostomia precoce. Considerações finais: identificaram-se os cuidados específicos voltados à assistência à saúde da pessoa idosa submetido à ventilação mecânica invasiva, demonstrando ações a serem implementadas aos protocolos de prevenção de Pneumonia Associada à Ventilação Mecânica.
ANALISIS PENGARUH MOTIVASI KERJA, LINGKUNGAN KERJA, SISTEM REWARD DAN STRES KERJA TERHADAP KINERJA KARYAWAN PADA PT. ABAISIAT RAYA
Authors: Charli Chintya Ones , Adriani Yosi
Published: July 2024

Tujuan dari penelitian ini adalah untuk mengetahui seberapa besar Analisis Pengaruh Motivasi Kerja, Lingkungan Kerja, Sistem Reward Dan Stres Kerja Terhadap Kinerja Karyawan Pada PT. Abaisiat Raya. Metode analisis data menggunakan kuesioner, dengan sampel 141, namun kuesioner yang terisi hanya 90 dan kuesioner yang diolah juga 90 responden. Metode analisis data yang digunakan adalah Analisi Regresi Linear Berganda. Berdasarkan hasil penelitian menunjukkan bahwa Terdapat pengaruh positif dan signifikan Motivasi Kerja terhadap Kinerja Karyawan. Terdapat pengaruh positif dan tidak signifikan Lingkungan Kerja terhadap Kinerja Karyawan. Terdapat pengaruh negatif dan tidak signifikan Sistem Reward terhadap Kinerja Karyawan. Terdapat pengaruh positif dan signifikan Stres Kerja terhadap Kinerja Karyawan. Secara simultan terdapat pengaruh positif dan signifikan Motivasi Kerja, Lingkungan Kerja, Sistem Reward, Stres Kerja terhadap Kinerja Karyawan.
PENGARUH KOMITMEN ORGANISASI DAN KEPUASAN KERJA TERHADAP KINERJA KARYAWAN DENGAN ORGANIZATIONAL CITIZENSHIP BEHAVIOR SEBAGAI VARIABEL INTERVENING PADA PT. BINA PRATAMA SAKATO JAYA
Authors: Sondari Viola , Pratiwi Nila , Khairi Awalul
Published: July 2024

Tujuan dari penelitian ini adalah untuk mengetahui seberapa besar Pengaruh komitmen organisasi dan kepuasan kerja terhadap kinerja karyawan dengan Organizational Citizenship Behavior Sebagai Variabel Intervening Pada PT. Bina Pratama Sakato Jaya. Metode analisis data menggunakan kuesioner, dengan sampel 85 responden. Dalam peneletian ini mengunakan alat analisis structural equation modeling (SEM) dengan mengunakan program partial least square (PLS) merupakan pendekatan berbasis komponen untuk pengujian model persamaan structural atau biasa disebut SEM hasil pengujian data dengan menggunakan alat bantu program smartpls. Hasil penelitian ini menunjukan bahwa (1) Komitmen Organisasi berpengaruh positif dan tidak signifikan terhadap Organizational Citizenship Behavior. (2) Kepuasan kerja berpengaruh positif dan signifikan terhadap Organizational Citizenship Behavior. (3) Komitmen Organisasi berpengaruh positif dansignifikan terhadap Kinerja karyawan. (4) Kepuasan kerja berpengaruh positif dan tidak signifikan terhadap Kinerja karyawan. (5) Organizational Citizenship Behavior berpengaruh positif dan signifikan terhadap Kinerja karyawan. (6) Komitmen Organisasi berpengaruh positif dan tidak signifikan terhadap Kinerja Karyawan melalui Organizational Citizenship Behavior. (7) Kepuasan kerja berpengaruh positif dan signifikan terhadap Kinerja karyawan melalui Organizational Citizenship Behavior
DALAM SISTEM PAKAR KONSULTAN KESEHATAN GIGI DAN MULUT
Authors: Afriyani Risti , Putra Tri Andi Eka , Risman Ahmad
Published: July 2024

Sistem pakar menentukan kesehatan gigi dan mulut dengan metode forward chaining biasanya dilakukan pengelompokkan terhadap fakta-fakta yang diperoleh dari seorang pakar sehingga diperoleh pengelompokkan gejala-gejala penyakit gigi dan mulut. Kemudian akan dihasilkan fakta-fakta baru dari gejala-gejala yang dialami oleh pasien, yang nantinya akan memberikan informasi masalah kesehatan gigi dan mulut pasien. Dengan demikian akan membantu pasien serta dokter dan asisten dokter dalam menentukan kondisi kesehatan pasien
PURCHASE INTENTION PADA SHOPEE: BRAND AMBASSADOR DAN SOCIAL MEDIA MARKETING YANG DIMEDIASI BRAND IMAGE
Authors: Yanti Sania Eka , Handayani Devyasri Nusa
Published: July 2024

Shopee memanfaatkan brand ambassador dan social media marketing untuk strategi pemasarannya. Namun, bagaimana peran brand ambassador dan social media marketing terhadap purchase intention yang dimediasi brand image pada Shopee. Maka dari itu, penelitian ini bertujuan untuk menyelidiki pengaruh brand ambassador dan social media marketing terhadap purchase intention yang dimediasi brand image pada Shopee. Metode penelitian yang digunakan yaitu kuantitatif, populasinya adalah individu yang memiliki aplikasi Shopee, sampelnya yaitu 78 responden, dan analisis datanya menggunakan SEM. Hasil penelitian menunjukkan pengaruh BA terhadap BI tidak signifikan, BA terhadap PI tidak signifikan, BI terhadap PI signifikan, SMM terhadap BI signifikan, SMM terhadap PI tidak signifikan, SMM terhadap PI yang dimediasi BI terbukti signifikan, BA terhadap PI yang dimediasi BI tidak terbukti signifikan. Kecocokan brand ambassador, kualitas konten, pengalaman atau preferensi membeli menjadi suatu hal yang perlu diperhatikan oleh Shopee.