bluuebunny/crossref_metadata_2025 huggingface dataset:
Leveraging Artificial Intelligence and Machine Learning for Sustainable Financial Technologies: Innovations, Challenges, and Future Prospects
Authors: Ramadugu Ramakrishna , Doddipatla Laxman , Stone Judith
Published: January 2025

The paper explores the transformational potential of AI and ML for developing sustainable financial technologies. As sustainability pressure heightens in the global financial industry, AI and ML are emerging fast as key drivers of innovation for financial inclusion, risk management, green investment, and fraud detection. The study seeks to emphasize the role of AI and ML in surmounting present barriers in the financial ecosystem-access to financial services, quality of data, and regulatory compliances-through a critical review of related literature. The paper further discusses how AI is being merged with other emerging technologies, such as blockchain, and their combined contribution toward sustainable development. While these technologies hold great promise, issues related to data privacy, ethics, and regulatory challenges are still common. This paper also identifies future research directions, calling for ongoing innovation and collaboration across sectors in order to capture the full potential of AI and ML in sustainable fintech. The findings provide valuable insights for policymakers, financial institutions, and researchers operating at the interface between AI, finance, and sustainability.
Práticas Integrativas e Complementares (PICs) na prevenção e tratamento das arboviroses dengue, zika e chikungunya para a educação popular e promoção da saúde
Authors: Alves João Armando
Published: January 2025

Os cuidados populares aliados à ciência podem influenciar os determinantes de saúde. Nesse contexto, as PICs são reconhecidas desde Alma-Ata em 1978 e no Brasil foi instituída em 2006, a PNPIC/MS. O Projeto ArboControl UnB/MS, realizou oficinas incluindo perguntas sobre a utilização de plantas e outras práticas como auxiliares na prevenção e tratamento das arboviroses, com objetivo de analisar sua aplicação segundo percepção popular; identificar indicadores que auxiliam na oferta; buscar informações-chave para colaborar na adesão às PICs, cujo método consiste numa investigação do vetor Aedes aegypti e da dengue, zika e chikungunya. Trata-se de um estudo qualitativo, sob a coordenação do ECOS/FS/UNB. Analisou-se o conteúdo de oficinas com a comunidade em 02 municípios brasileiros, Cascavel/PR e Fortaleza/CE. Para análise das oficinas considerou-se os trechos onde emergiram todas as falas relacionadas ao tema. A auriculoterapia e a massoterapia foram reconhecidas como eficazes sobre os sintomas da chikungunya. Entre as plantas aplicadas como repelentes, banhos terapêuticos e na forma de chás, destacaram-se a citronela, erva de santa maria, arruda, arnica e cravo da índia. A cana brejeira em infusão para banho foi recomendada para o alívio da coceira causada pela chikungunya. Conclui-se que o uso de plantas medicinais no cuidado à saúde está difundido no Brasil, mas é preciso orientação profissional e observar a regulamentação para garantir a segurança dos usuários. Sobre a prevenção, ficou evidente o interesse pelo efeito repelente das plantas. A PNPIC garante a oferta e acesso, mas a população precisa ser melhor informada sobre práticas do cuidado.
EXPERIÊNCIAS DE INTERPROFISSIONALIDADE NA FORMAÇÃO EM SAÚDE: UMA REVISÃO DE ESCOPO
Authors: Batista das Neves Ramos Doralice , March Frota de Souza Claudia , Costa Freitas Lorrany , Ayres Monteiro Kátia
Published: January 2025

O objetivo deste estudo foi realizar uma revisão de escopo a fim de descrever e analisar as experiências de práticas multiprofissionais na formação em saúde envolvendo estudantes de graduação e/ou educadores e/ou profissionais de saúde no território brasileiro. Este estudo caracteriza-se como revisão de escopo, que é concebida como uma técnica para mapear os estudos mais relevantes relacionados a uma determinada temática; esse tipo de revisão é utilizado para sintetizar informações. O levantamento bibliográfico localizou 1.664 resultados; após a triagem, restaram 23 artigos para compor a revisão. A leitura dos artigos forneceu substratos para a construção das seguintes unidades temáticas: Projetos Pedagógicos de Curso, Currículos e Políticas Indutoras de Reorientação da Formação em Saúde: sobre as práticas didático-pedagógicas e a interprofissionalidade na formação; Limites e potencialidades das experiências para a interprofissionalidade: a comunicação interprofissional como potência na formação. O estudo revelou que as experiências de interprofissionalidade vividas pelos estudantes possibilitou uma formação mais crítica e integral, uma melhora e qualificação da escuta e empatia, e vínculo com os usuários dos serviços de saúde, com profissionais dos locais de prática, bem como entre os docentes. Ressaltou-se também que os currículos que adicionaram a interprofissionalidade de forma estrutural foram capazes de promover uma formação diferenciada e indiretamente beneficiar a sociedade.
Novas Configurações Familiares geradas pela pandemia do COVID-19 e seus impactos psicossociais
Authors: Villaça Kroll Tereza Cristina
Published: January 2025

Trata-se de estudo que teve como objetivo realizar um diagnóstico amostral da realidade de famílias que foram afetadas por mortes pela COVID-19. Por meio da abordagem qualitativa foram investigadas as novas configurações familiares geradas por essas mortes e identificados os impactos psicossociais dessas perdas na vida dos familiares. O público-alvo pesquisado foram famílias das regiões administrativas de Brasília-DF afetadas pela morte de um familiar pela pandemia. Foram entrevistadas catorze pessoas representantes de famílias impactadas por perdas pela COVID-19. Os dados mostraram: a) a reconfiguração familiar e suas alterações; b) os impactos psicológicos do processo de adoecimento, internação e morte nas famílias; c) os impactos sócio financeiros com a perda do familiar; d) a vivência do luto pelas famílias.
Palavras-chave: Novas configurações familiares, COVID-19,  Impactos psicossociais.
A multi-perspective and multi-method study on perceptions of English proficiency and pedagogical practices of NNESTs and NESTs in Chinese university classrooms
Authors: Deng Jie , Li Ke
Published: January 2025

This study investigates the perceived English proficiency and teaching practices of non-native and native English-speaking teachers (NNESTs and NESTs) in Chinese universities, utilizing a multi-method approach including surveys, classroom observations, interviews, and focus groups. Data were collected from 118 students, four NNESTs, four NESTs, and two administrators to assess proficiency in English for general purposes (EGP) and English for teaching purposes (ETP). Qualitative and quantitative analyses indicate that NNESTs rate their ETP proficiency higher than their EGP, while NESTs perceive their EGP and ETP proficiencies to be superior to those of NNESTs. Administrators affirm NNESTs' ETP proficiency but raise concerns about NESTs' writing skills for ETP. Although a majority of students (n=65) showed no preference, focus groups suggest their preferences are context-dependent. The findings contribute to the understanding of ETP versus EGP proficiency and highlight the need for professional development in teaching competencies for both NESTs and NNESTs.
MICROTEACHING AS TEACHING STRATEGY OF COMPUTER ASSISTED LANGUAGE LEARNING (CALL) FOR ENGLISH PRE-SERVICE TEACHERS
Authors: Azmina Badi'atul , Fauziati Endang , Drajti Nur Arifah
Published: January 2025

In order to facilitate English pre-service teachers to have ability in integrating technology in the classroom, microteaching is one of teaching strategy solutions. This present study examines how microteaching was used as teaching strategy of Computer Assisted Language Learning (CALL) for English pre-service teacher. It is case study design. The setting of this study was in one of Islamic State University in Indonesia, in the English Education Department. The data are from interview, document analysis, and observation. The result shows that the teaching strategies of Computer Assisted Language Learning (CALL) which was a microteaching consisted of lesson planning, teaching, and evaluating. Lesson planning and teaching step were done by the English pre-service teacher. Yet, the evaluating step was done by the lecturer and peer pre-service teachers. The significance of this study is for example on how to implement microteaching of Computer Assisted Language Learning (CALL) to English pre-service teachers.
FLoRA engine: Using Analytics to Measure and Facilitate Learners’ Own Regulation Activities
Authors: LI XINYU , Fan Yizhou , Li Tongguang , Raković Mladen , Singh Shaveen , Van der Graaf Joep , Lim Lyn , Moore Johanna , Molenaar Inge , Bannert Maria , Gašević Dragan
Published: January 2025

The focus of education is increasingly on learners’ ability to regulate their own learning within technology-enhanced learning environments. Prior research has shown that self-regulated learning (SRL) leads to better learning performance. However, many learners struggle to productively self-regulate their learning, as they typically need to navigate the myriad of cognitive, metacognitive, and motivational processes that SRL demands. To address these challenges, the FLoRA engine is developed to help students, workers, and professionals improve their SRL skills and become productive lifelong learners. FLoRA incorporates several learning tools that are grounded in SRL theory and enhanced with learning analytics (LA), aimed at improving learners’ mastery of different SRL skills. The engine tracks learners’ SRL behaviours during a learning task and provides automated scaffolding to help learners effectively regulate their learning. The main contributions of FLoRA include (1) creating instrumentation tools that unobtrusively collect intensively sampled, fine-grained, and temporally ordered trace data about learners’ learning actions; (2) building a trace parser that uses LA and related analytical techniques (e.g., process mining) to model and understand learners’ SRL processes; and (3) providing a scaffolding module that presents analytics-based adaptive, personalized scaffolds based on students’ learning progress. The architecture and implementation of the FLoRA engine are also discussed in this paper.
Transmodal Analysis
Authors: Shaffer David , Wang Yeyu , Ruis Andrew
Published: January 2025

Learning is a multimodal process, and learning analytics (LA) researchers can readily access rich learning process data from multiple modalities, including audio-video recordings or transcripts of in-person interactions; logfiles and messages from online activities; and biometric measurements such as eye-tracking, movement, and galvanic skin response. While many techniques are used in LA to model different types of learning process data—most of which are state-dependent (or state-space) approaches that model a learning process at any given time as a function of the preceding events—constructing multimodal models has so far relied on fusion of different data streams, which converts multimodal data into a unimodal format. This creates a number of problems for multimodal modelling, the most important of which is that it treats different data modalities as equivalent. That is, existing state-dependent models of fused data cannot easily account for (a) events that may have different impacts on future events based on what those future events are and the context in which they are occurring; (b) how events may influence some groups of learners differently; and (c) which events are visible (and thus potentially impactful) to which students. In this paper, we propose transmodal analysis (TMA), a mathematical and computational framework designed to address these challenges. TMA is not a data analysis method but rather an approach to modelling that can augment existing state-dependent models of learning processes to account for multimodal data without data fusion. We present a conceptual and methodological description of TMA, and we include an appendix with a detailed worked example as a proof of concept. While this approach is in the early stages of development, it has the potential to significantly improve the ease, efficiency, and fairness of multimodal analyses of learning processes.
Integrating Option Tracing into Knowledge Tracing: Enhancing Learning Analytics for Mathematics Multiple-Choice Questions
Authors: Li Hai , Xing Wanli , Li Chenglu , Zhu Wangda , Woodhead Simon
Published: January 2025

Knowledge tracing (KT) is a method to evaluate a student's knowledge state based on their historical problem-solving records by predicting the next answer's binary correctness. Although widely applied to closed-ended questions, it lacks a detailed option tracking method for assessing multiple-choice questions (MCQs). This paper introduces a general option tracking (OT) method that can be seamlessly integrated into deep knowledge tracing (DKT) methods through data processing techniques and network output modules. Using a million-level assignment records of MCQs from a K-12 math learning platform, which includes two types of knowledge components (KC): skill and misconception, we converted five different DKT models into deep option-tracing (DOT) models. Performance metrics demonstrate that OT enhances KT performance and effectively identifies students' future option-selection tendencies. Furthermore, using the best OT model, we extracted students' problem-solving sequence features and learning gains to analyze learning patterns. The results reveal that for beginners in middle school mathematics, consecutive errors in the same skill might lead to greater learning gains. Finally, we applied network analysis to reveal connections between skills based on students' error tendencies. Our work contributes to KT methods and related empirical findings in learning analytics (LA) for knowledge assessment.
Métricas igualitárias na ciência: caminhos para a construção de indicadores de diversidade, equidade, inclusão e acessibilidade
Authors: Hayashi Maria Cristina Piumbato Innocentini , Carneiro Dias Rigolin Camila
Published: January 2025

Em resposta à crescente demanda por ambientes científicos mais inclusivos, surgiu a necessidade de revisar as métricas convencionais usadas em avaliações acadêmicas e distribuição de recursos. Este artigo investiga o desenvolvimento de indicadores de Diversidade, Equidade. Inclusão e Acessibilidade (DEIA) como ferramentas fundamentais para promover métricas justas na ciência. A pesquisa foi motivada pela urgência em criar métodos que não apenas avaliem, mas também fomentem uma cultura de equidade, contribuindo para a modernização das métricas e incentivando a democratização da ciência. O objetivo foi propor indicadores DEIA práticos e eficazes, alinhados com os princípios de justiça e acessibilidade. A metodologia adotada incluiu uma abordagem teórico-crítica, apoiada nas teorias da interseccionalidade e do campo científico de Bourdieu, e análise documental, que permitiu uma investigação detalhada de práticas inovadoras. Os resultados apontaram seis indicadores: composição de gênero e minorias em posições de liderança; diversidade na autoria de publicações; equidade no acesso ao financiamento; taxas de retenção e sucesso de diversos grupos estudantis; clima organizacional e cultura inclusiva; e engajamento com comunidades sub-representadas. Esses indicadores oferecem uma visão ampla dos desafios na implementação dos princípios DEIA, influenciando o debate sobre reformas políticas e promovendo práticas científicas mais igualitárias e acessíveis.
Data Workers in AI development
Authors: Valente Jonas Chagas Lucio
Published: January 2025

The theme of sovereignty in relation to digital technologies has gained growing attention in recent years, as demonstrated by concepts such as data sovereignty (Hummel et al., 2021) and digital sovereignty (Pinto, 2018). The literature on digital sovereignty comprises a diverse theoretical-methodological universe (Couture, Toupin, 2019), with authors addressing different dimensions of the theme, from the sovereignty of the data generated by groups, such as Indigenous people (Kukutai et al., 2016) to geopolitics of AI (Larssen, 2022). This paper aims to address an underappreciated dimension: the challenges to digital sovereignty in labor relations. Focusing specifically on workers in Artificial Intelligence development. The paper is guided by the following research question: what are the challenges to the sovereignty of AI data workers from the Global South on cloudwork platforms? Discussing the organization of the labor process on cloudwork platforms through a lense of historical-dialectic materialism, it highlights challenges posed by workers’ structurally weak bargaining power and lack of access to labor rights and social protections, arguing that such factors limit the individual and collective sovereignty of workers. Such challenges are illustrated by discussing two major cloudwork platforms: Amazon Mechanical Turk and Microworkers.
Lock-out, lock-in, and networked sovereignty. Resistance and experimentation in Africa’s trajectory towards AI
Authors: Gagliardone Iginio
Published: January 2025

This paper locates the challenges and opportunities brought by Artificial Intelligence (AI) to ideas and practices of sovereignty in Africa in the long history of the struggles individuals, social movements, and governments in Africa have endured to mediate between indigenous and exogenous definitions of statehood and citizenship. While acknowledging and examining some of the transformative potentials of AI, it seeks to resist the tendency to fall for hyped narrations of technological prowess and disruptiveness, asking instead how specific artefacts intersect with localised trajectories of control, resistance, and liberation. In does so in two ways. First, it opposes a definition of sovereignty as emulation of the ideal-type Westphalian states with traditions of flexible sovereignty that characterized pre-colonial Africa. Second, it analyses a specific case in which these two conceptions clashed, and what it is possible to learn from this tension.
The definition of sovereignty that has prevailed after independence has followed what Achille Mbembe provocatively referred to as the “fetishization” of the concept of nation-state. African governments “borrowed concepts from the Western lexicon such as “national interest”, “risks”, “threats” or “national security” [which] refer to a philosophy of movement and a philosophy of space entirely predicated on the existence of an enemy in a world of hostility” disregarding Africa’s “long held traditions of flexible, networked sovereignty” (Mbembe, 2017). But, following Mbembe, it is by reconnecting with the epistemic traditions that characterized pre-colonial Africa (Mbembe, 2020) that it becomes possible to experiment with new forms of resistance and value making that seem more attuned to some of the realities brought by digital technologies, and Artificial Intelligence more specifically. As he explained, “precolonial Africa might not have been a borderless world. But where they existed borders were always porous and permeable. [...] Networks, flows and crossroads were more important than borders. What mattered the most was the extent to which flows intersected with other flows” (Mbembe, 2017).
Computadores fazem arte, artistas não fazem dinheiro: plataformização, inteligência artificial e a soberania audiovisual nos casos da Netflix e da Globo no Brasil
Authors: Aires Janaine
Published: January 2025

RESUMO: A crescente plataformização e a adoção da Inteligência Artificial (IA) têm transformado a cadeia produtiva do audiovisual, resultando em desafios significativos à soberania audiovisual brasileira. Este artigo tem como propósito investigar como esses processos intensificam as assimetrias de poder e promovem uma dependência tecnológica, impactando as produtoras locais e suas capacidades de geração de valor. Através da análise de dois casos: a relação entre produtoras independentes e a Netflix, e a parceria entre o Grupo Globo e o Google Cloud Platform, que ilustra a transformação da Globo em uma MediaTech, buscamos refletir sobre como a automatização e a padronização de conteúdos, impulsionadas pela IA e pela plataformização, promovem dependência tecnológica e atualizam as dinâmicas de colonialismo de dados. A conclusão aponta que, em um contexto de crescente influência de plataformas estrangeiras e da fragilidade das estruturas regulatórias nacionais, é imperativo desenvolver estratégias que fortaleçam a soberania audiovisual, garantindo a proteção e promoção da cultura, valores e narrativas brasileiras.
Challenges in Microgrids with Medium Voltage Circuit
Authors: Oliveira Hércules A. , Santos Luiza H. S. , Ribeiro Luiz A. de S. , De Matos José G. , Pinheiro Lucas de P. A.
Published: January 2025

This paper presents and discusses challenges in microgrids (uGrid) that arise when they operate isolated from the main grid. Specifically, these challenges occur because the system becomes an ungrounded delta configuration, and the microgrid power sources exhibit low short-circuit capacity. The important issues addressed include the failure to detect ground overcurrent during an earth fault event, voltage imbalances recorded by voltage transformers (VTs) connected between phases and earth, and the phenomenon of ferroresonance. These issues directly impact the coordination of electrical protection, component integrity, and synchronization checks between different power sources within the uGrid. Therefore, the Energy Management System (EMS) is tasked with managing protection devices and systematically responding to minimize disruptions, thereby ensuring operational security. This paper examines the protection functions within devices for both operational modes (on-grid and off-grid) and the corresponding decisions implemented as rules within the EMS. Effective coordination between protection devices and management systems ensures a rapid and selective response to faults, thereby enhancing microgrid security and facilitating efficient problem detection and resolution.
Benefits and Costs of Working in National Park Service: Focus Group Findings
Authors: Torres Victoria Alicia , Swensen Kira , Lewis Jordan , Beattie Emily , Kuslak Brina , Jackson Jalisa , Thomas Katharine , Ard Gillian , Gupman Rick , Leto Frank , Gulliver Suzy Bird
Published: January 2025

The various parks that make up the National Park Service (NPS) serve as popular destinations for individuals and families alike, seeking rest, relaxation and beautiful views. The work necessary to upkeep the parks across the country is extensive. These parks are maintained by approximately 20,000 employees (both permanent and temporary). However, the toll it takes has not been examined in depth. Researchers conducted qualitative thematic analysis on three focus groups of NPS employees at a remote NPS unit in southwestern United States (US). Themes found include several costs and benefits to working for NPS as well as themes for burnout and opportunities for improvement. Benefits of working for NPS included: social support, vocational balance, concrete benefits, adventure, and NPS’s
strong mission statement. Costs of working for NPS included: feelings of being overworked, social costs, leadership and management issues, and the inherent dangers of the job. Based on empirical literature, researchers coded the following burnout themes:overwhelming exhaustion, a sense of ineffectiveness and lack of accomplishment, and feelings of disengagement and cynicism. Opportunities for agency improvement included: increased staffing, increased mental health resources, the provision of leadership/management training, and decreasing mental health stigma. The researchers' strong background in providing peer support training to first responders and military poised them well to establish peer support for NPS employees and provide tele-mental health at no cost for workers and their
family members. This paper describes the results of a first qualitative step toward cultural awareness in a program of research with the long-range aim to improve NPS workers’ behavioral health and well-being in jobs that are often more avocation
than vocation.
Variability of anti-Müllerian hormone and folliculotropic hormone levels in women of reproductive age in relation to normal or impaired ovarian function
Authors: Jusiakowska-Piputa Małgorzata , Kaczmarek Maria
Published: January 2025

The demographic crisis in Europe is growing due to an increasing proportion of couples with fertility disorders. The purpose of this study was to examine the variability of ovarian reserve markers with age in women with premature ovarian insufficiency (POI) and polycystic ovary syndrome (PCOS) in relative to women with normal ovarian function. Two hormones were analyzed: anti-Müllerian hormone (AMH) and folliculotropic hormone (FSH). This study demonstrates that AMH is a valuable indicator of alterations in reproductive capacity. FSH is a standard marker of the hypothalamic-pituitary-ovarian axis.
We examined the reproductive status of 390 women aged 23–46 years in three groups. Ovarian dysfunction was determined by a medical diagnosis. The study includes women with PCOS (n=154), POI (n=40), and control group (n=196) with normal ovarian function (NOF). Blood samples were collected to measure AMH and FSH. We used multivariate logistic regression analysis to demonstrate the relationship between hormone levels and age in different age groups. ANOVA was used to analyze factors related to AMH and FSH concentrations. The results confirmed that women with POI had significantly lower AMH concentrations and higher FSH concentrations than women with normal ovarian function only in the group of women aged 36–46 years. There were no statistically significant differences in FSH levels in women with POI and NOF in the 23–30 and 31–35 age groups. AMH levels were higher in the PCOS group than in women with NOF in all age groups. FSH marker did not differ compared to the control group in women aged 23–30 and 36–46. The predictive value of AMH in the diagnosis of PCOS is significantly higher than the commonly used FSH. The results may contribute to earlier assessment of biological status to support reproductive chances in women with POI and PCOS.
Pap Smear Practices among Female Healthcare Professionals in Indonesia and Their Associated Factors
Authors: Ramli Richelle , Angelina
Published: January 2025

Introduction : Cervical cancer is the fourth most frequent disease in women worldwide. However, pap smear coverage in Indonesia remains below the target. The purpose of this study was to describe pap smear practice among female healthcare professionals and its associated factors.
Methods : This cross-sectional study was conducted from August 2022 to June 2023 among married female healthcare professionals of reproductive age who worked in Kelapa Dua district, Tangerang, Banten, Indonesia. Three general hospitals, two primary clinics, and one community health center were involved in this study. Data was collected using a self-administered questionnaire and analyzed using a chi-square test.
Results : From 236 respondents, only 80 respondents (33.9%) had pap smear tests. The most common reasons for not doing the test were lack of time and having not experienced any of the symptoms. Those who were doing the pap smear tests were likely to be more than 40 years old (OR 29.900; 95% CI 9.595 – 93.172; p<0.001), married for more than 10 years (OR 28.737; 95% CI 9.955 – 82.955; p<0.001), multiparous (OR 6.941; 95% CI 2.706 – 17.805; p<0.001), and have higher economic income (OR 7.333; 95% CI 1.443 – 37.274; p=0.020). Female healthcare professionals other than medical practitioners, nurses, or midwives were less likely to do the pap smear tests (OR 0.370; 95% CI 0.167 – 0.823; p=0.02).
Conclusion: Pap smear practice among female healthcare professionals in Indonesia was inadequate. Age, marriage duration, parity status, types of healthcare professionals, and socioeconomic status were significantly associated with pap smear practice.
Evidencias psicométricas de la versión peruana del Patient Health Questionnaire (PHQ-9)
Authors: Quispilcaya Capcha Kennedy , Salazar-Álvarez Giuliana , Araujo-Robles Elizabeth Dany
Published: January 2025

El objetivo del presente estudio fue analizar las propiedades psicométricas de la versión peruana del Patient Health Questionnaire (PHQ-9) en una muestra de 33,613 personas, con datos obtenidos de una base de datos de la ENDES 2019. La metodología es de nivel básico no experimental y con diseño instrumental. Los resultados indican buena calidad de los ítems, evidenciando capacidad para medir el mismo constructo y diferenciar a las personas con diferentes niveles de depresión. Se identificó un modelo factorial de dos dimensiones (somático y cognitivo) con una adecuada bondad de ajuste (RMSEA = .097; CFI = .932; NFI = .932; TLI = .906). Finalmente, se obtuvo un alto nivel de confiabilidad (ω = .892).
A Study on the Effect of Corporate Income Tax Cut on Income Distribution
Authors:   KOREA DEVELOPMENT ECONOMICS ASSOCIATION, Hong Jangpyo
Published: January 2025

This paper aims to analyze the effect of corporate tax cut on income distribution in imperfectly competitive product markets and imperfectly information capital markets using Korean corporate panel data from 1999 to 2022. The main empirical results are as follows.
The estimate shows that corporate income tax cut reduces the labor share and capital cost share of income and increases the profit share by factor substitution effect and output effect, financial effect from reducing debt financing.
The estimate of value-added output effect of corporate tax cut was significant in unlisted companies that have difficulty in taking advantage of profitable investment opportunities with financial constraints in the capital market. On the other hand, the estimate of output effect was insignificant in listed companies without financial constraints. In listed companies without financial constraints, the profit share of income increased by the factor substitution effect and financial effect of corporate tax cut. In unlisted companies with financial constraint, corporate tax cut worsens income distribution but increases economic welfare. In listed companies without financial constraint, corporate tax cut worsens income distribution without increasing economic welfare.
FRCM Composites para aplicaciones estructurales: una revisión sistemática
Authors: Rodríguez-Marcos María , Villanueva-Llauradó Paula , Fernández-Gómez Jaime
Published: January 2025

Las matrices cementosas reforzadas con fibras (MCRF) son materiales compuestos que se utilizan cada vez más para la rehabilitación de estructuras existentes debido a su elevada relación resistencia-peso. Las FRCM están formadas por un tejido embebido en una matriz de mortero. Generalmente, el textil es una rejilla ortogonal que puede estar hecha de fibras de carbono, vidrio resistente a los álcalis (AR), basalto, aramida o PBO. Los morteros pueden ser a base de cal o cementosos, y pueden incluir varias adiciones como polímeros, fibras y cenizas volantes.En este trabajo, para investigar sistemáticamente el comportamiento mecánico de los materiales compuestos FRCM sometidos a esfuerzos de tracción, así como el comportamiento en la interfaz FRCM-hormigón sometida a flexión, se realizó una revisión exhaustiva de los estudios experimentales.Se diseñó un protocolo para la revisión sistemática, en el que la selección de artículos estuvo motivada por la inclusión de investigaciones experimentales, dentro del corpus de Web of Science de artículos que trataban sobre materiales FRCM de carbono, mediante la inclusión de «carbono» en el resumen o en el título.
Analaisis Permasalahan dan Pengembangan Usaha Dodol Pangi
Authors: Risal Risma Yana , M. Rukka Rusli , Rahmadanih Rahmadanih , Busthanul Nurbaya , Amrullah A.
Published: January 2025

Penelitian ini bertujuan untuk menganalisis persoalan dan pengembangan pemasaran produk dodol pangi pada usaha kecil menengah di Kabupaten Soppeng, Sulawesi Selatan. Dodol pangi merupakan produk olahan buah pangi yang memiliki potensi ekonomi tinggi namun masih terbatas pada pasar lokal. Penelitian ini menggunakan metode analisis perencanaan pengembangan agrosistem (APPAS), yang meliputi analisis situasi, masalah, sasaran, dan perencanaan pengembangan usaha. Hasil penelitian menunjukkan bahwa masalah utama yang dihadapi adalah rendahnya penjualan, yang disebabkan oleh terbatasnya daerah pemasaran, kualitas kemasan yang rendah, serta kurangnya promosi dan pemahaman pemasaran digital. Selain itu, kualitas produk juga dipengaruhi oleh penggunaan peralatan produksi yang masih manual. Penelitian ini merancang serangkaian tindakan untuk meningkatkan pemasaran, di antaranya peningkatan kemampuan SDM dalam pemasaran digital, desain ulang kemasan dengan mencantumkan label halal, komposisi, nilai gizi, dan masa expired, serta pengadaan peralatan produksi yang lebih modern. Implementasi strategi pemasaran melalui media sosial, e-commerce, serta pameran diharapkan dapat memperluas pasar dan meningkatkan permintaan produk. Berdasarkan perhitungan, dengan melaksanakan tindakan tersebut, diharapkan omset dan pendapatan bersih dapat meningkat signifikan, mencapai target penjualan 3000 pack per bulan dan pendapatan bersih sekitar Rp 20.000.000. Penelitian ini memberikan kontribusi dalam pengembangan strategi pemasaran agroindustri berbasis produk lokal unggulan di tingkat usaha kecil menengah.
ANALISIS KINERJA SIMPANG BERSINYAL PADA SIMPANG EMPAT KETANDAN DAN SIMPANG EMPAT SANGKRAH KOTA SURAKARTA DENGAN PERANGKAT LUNAK PTV VISTRO
Authors: Yulianto Budi , Atras Uti Najwa , Setiono Setiono
Published: January 2025

The city of Surakarta, located in the southern part of java island, is one of the cities that has become a trading node in the golden triangle area in the province of Central Java. This caused traffic jams at several points in Surakarta City such as the Simpang Empat Ketandan and Simpang Empat Sangkrah. Traffic analysis is needed to reduce the conflict problems that occur. PTV Vistro is a software used to analyze the performance of signalized intersections using the HCM 2010 method based on the degree of saturation (DS) and delay (D). Statistical Product and Service Solutions (SPSS) is used to validate base scenario modeling with the queue length parameter (m) to produce data that is representative of conditions in the field. The analysis was carried out under existing conditions and a single scenario. The results of the analysis at the two intersections produce a single scenario with the optimization type Minimize Critical Movement (Split & Cycle Time) having the best performance compared to other optimizations. Simpang Empat Ketandan during the morning rush hour produces DS = 0.36 and D = 36 sec/pcu and during the afternoon rush hour the values DS = 0.48 and D = 42 sec/pcu. The Simpangrah Empat intersection during the morning rush hour resulted in a value of DS = 0.24 and D = 14 sec/pcu and during the afternoon rush hour the value of DS = 0.45 and D = 18 sec/pcu.
PERBANDINGAN BIAYA DAN WAKTU PEMBANGUNAN GEDUNG PASCASARJANA UPI DENGAN METODE MODULAR PADA DINDING
Authors: Setyawan Ary , Claudia Gabriella Angelisa , Handayani Fajar Sri
Published: January 2025

The Indonesian University of Education faced project delays that had an impact on the budget and timing of the Postgraduate Building's development. The UPI Postgraduate Building is being constructed using traditional methods, which results in a lengthy amount of work. The aforesaid issue might have a solution in the modular approach. The modular approach can swiftly meet significant customer demands since it has a production technique for creating components that are mass-produced. The conventional method's implementation costs and timeline are being contrasted with the modular method's implementation costs and timeline. The cost and construction time of traditional walls and modular walls which use precast concrete materials and lightweight concrete panels are compared for wall components. To make the optimal decision, the analysis was done using the comparison technique and the cost-effectiveness analysis approach. From the results of the analysis, the use of precast concrete and lightweight concrete panels experienced cost inefficiencies of 17.92% and 11.75% but were able to save time 62.03% and 34.78% respectively. Based on the Cost Effectiveness Analysis, an alternative material that was a more cost-effective choice was precast concrete walls.
Pengembangan Media 3d Smart Box Pada Mata Pelajaran Pancasila Bagi Siswa Kelas 4 Di Sdn Cijujung 01 Kabupaten Bogor
Authors: Pritania Aurelia , Wargahadibrata R.A. Hirmana , Septiani Mita
Published: January 2025

Penelitian pengembangan ini bertujuan untuk: 1) menghasilkan produk berupa media Smart Box untuk Siswa kelas 4 di SDN Cijujung 01 Kabupaten Bogor. 2) Menguji keefektifan penggunaan produk pengembangan media Smart Box untuk Siswa kelas 4 di SDN Cijujung 01 Kabupaten Bogor.
Penelitian ini merupakan penelitian pengembangan (Research and Developmet), dengan menggunakan model pengembangan 4D yang dikembangkan oleh Thiagarajan (1974) sebagai alur tahapan penelitian. Pengumpulan data penelitian menggunakan wawancara, angket dan test. Subjek penelitian ini melibatkan satu guru kelas 4D dan 34 siswa kelas 4D SDN Cijujung 01 Kabupaten Bogor. Analisis data dalam penelitian ini menggunakan teknil analisis data kualitatif dan kuantitaif.
Hasil penelitian ini adalah media 3D Smart Box, yang telah divalidasi oleh para ahli adalah produk layak untuk digunakan. Hasil uji coba lapangan menunjukkan bahwa: (1) uji coba small group dengan nilai 63,37% kategori “efektif”, (2) uji coba field test dengan nilai 66,59% kategori “efektif”, (3) hasil angket respon uji coba small group dengan skor 97,1% kategori “sangat valid”, (4) hasil angket uji coba field test dengan skor 95,2% kategori “sangat valid”.
Kesimpulan Hasil penelitian adalah: (1) Media Smart Box dapat meningkatkan pemahaman belajar siswa kelas 4 di SDN Cijujung 01 Kabupaten Bogor, dan (2) Media Smart Box efektif digunakan sebagai media pembelajaran “Pendidikan Pancasila” di kelas 4.
Kata Kunci: Pengembangan, Smart Box, 3D.
 
This development research aims to: 1) produce a product in the form of Smart Box media for 4th grade students at SDN Cijujung 01 Bogor Regency. 2) Test the effectiveness of the use of Smart Box media development products for 4th grade students at SDN Cijujung 01 Bogor Regency.
This research is a development research (Research and Developmet), using the 4D development model developed by Thiagarajan (1974) as the flow of research stages. The data collection used interviews, questionnaires and tests. The subjects of this research involved one 4D class teacher and 34 4D class students of SDN Cijujung 01 Bogor Regency. Data analysis in this study used qualitative and quantitative data analysis techniques.
The result of this research is 3D Smart Box media, which has been validated by experts is a product worth using. The results of the field trial showed that: (1) small group trial with a value of 63.37% in the “effective” category, (2) field test trial with a value of 66.59% in the “effective” category, (3) the results of the small group trial response questionnaire with a score of 97.1% in the “very valid” category, (4) the results of the field test questionnaire with a score of 95.2% in the “very valid” category.
Conclusion The results of the study are: (1) Smart Box media can improve learning comprehension of grade 4 students at SDN Cijujung 01 Bogor Regency, and (2) Smart Box media is effectively used as a learning media for “Pancasila Education” in grade 4.
Pengembangan Online Course Berbasis Project Based Learning Untuk Mata Kuliah “Fotografi Pendidikan”
Authors: Gunawan Arief Ariadi , Nursetyo Kunto Imbar , Cecep Kustandi
Published: January 2025

Penelitian ini bertujuan mengembangkan online course Fotografi berbasis project-based learning di LMS UNJ untuk Program Studi S1 Teknologi Pendidikan Universitas Negeri Jakarta. Produk ini menyasar mahasiswa Teknologi Pendidikan UNJ dengan tujuan memperbarui materi, sumber belajar, petunjuk belajar, dan model pembelajaran. Penelitian menggunakan model ILDF yang meliputi tiga tahap: eksplorasi, penyusunan, dan evaluasi. Hasilnya adalah online course Fotografi dengan learning object dan panduan belajar yang telah dievaluasi oleh ahli materi, desain pembelajaran, dan media pembelajaran. Evaluasi ahli menyarankan penambahan implementasi model Project Based Learning, contoh katalog foto, perubahan format tampilan LMS, penambahan template katalog, dan perbaikan tujuan pembelajaran. Produk ini diuji dengan pengguna secara one-to-one dan kelompok kecil. Evaluasi one-to-one menunjukkan kesesuaian produk dengan beberapa perbaikan penulisan. Evaluasi small group melibatkan 9 mahasiswa yang memberikan rata-rata skor 3,75 (Sangat Baik). Hasil uji coba menunjukkan produk sudah sesuai untuk digunakan.
Uptake of Recommended Vaccines During Pregnancy Among Publicly and Privately Insured People in the United States, December 2020–September 2022
Authors: Rowe Stacey L. , Sullivan Sheena G. , Munoz Flor M. , Coates Matthew M. , Arah Onyebuchi A. , Regan Annette K.
Published: January 2025

Objectives. To estimate maternal COVID-19, influenza, and pertussis vaccine uptake during pregnancy by insurance type and identify factors characterizing those vaccinated and unvaccinated.

Methods. We conducted a US cohort study of pregnant individuals (for pregnancies ending December 11, 2020–September 30, 2022) using insurance claims data. We calculated vaccination probability using Kaplan-Meier methods and identified factors associated with vaccination through binomial regression with inverse probability weights.

Results. Among 695 887 pregnant individuals (median age = 32 years for privately and 27 years for publicly insured), the cumulative probability of COVID-19 vaccination was 43.0% (privately insured) and 11.8% (publicly insured). We observed marked disparities between influenza (33.2% vs 14.2%) and pertussis (70.3% vs 42.8%) vaccination. Only 6.8% (privately insured) and 1.1% (publicly insured) received all 3 vaccines. COVID-19 and influenza vaccination odds were lower among drug and tobacco users. People with high-risk medical conditions, particularly the publicly insured, commonly were vaccinated.

Conclusions. Marked vaccine uptake disparities exist between privately and publicly insured pregnant people. Understanding structural barriers, particularly for Medicaid enrollees, is critical to improving maternal vaccine access. ( Am J Public Health. 2025;115(3):354–363. https://doi.org/10.2105/AJPH.2024.307899 )
River Channel Change Can Affect Flood Hazard and Risk as Much as Climate
Authors: Hawker Laurence , Darby Stephen , Slater Louise , Parsons Daniel , Boothroyd Richard , Ashworth Philip , Cloke Hannah , Delorme Pauline , Gebrechorkos Solomon , Grffith Helen , Hirabayashi Yukiko , Leyland Julian , Liu Yinxue , Mclelland Stuart , Neal Jeffrey , Nicholas Andrew , Smith Gregory Sambrook , Sampson Christopher , Vahidi Ellie , Wortmann Michel , Yamazaki Dai
Published: January 2025

Over a billion people globally are already exposed to the risk of flooding, but by 2050 this number is expected to double due to human-induced climate change, population growth, and encroachment into at-risk areas. Global Flood Models (GFMs) are vital tools for producing flood hazard maps supporting impact estimates and policy interventions. These GFMs represent river channels by typically assuming that the bankfull flow-carrying capacity equates to a river flow with a specified return period (RP) that is spatially and temporally invariant. However, bankfull capacity is determined by channel size, shape and roughness and so varies in response to erosion and sedimentation. To quantify the extent to which channel variability biases GFM predictions here we employ a typical GFM, the Fathom model, to a 135,000 km2 region of the Mississippi floodplain in a sensitivity analysis that evaluates how inundated areas and associated population exposures respond when forced with empirically-derived bankfull capacities. Our results show that since the typical RPs (< 1 year) of these present-day bankfull flows differ from the 2-year value normally assumed in GFMs, substantial underestimates of flood extent (9 to 59%, depending on flood magnitude) and populations exposed (15 to 118%) result. We also show that, over multi-decadal timescales, changes in past channel morphology are, depending on emissions scenario, of equal or greater importance in driving changes in simulated flood hazard and risk than changes in future climate. The evolution of bankfull capacity through space and time is therefore a first order control on flood hazard and risk, meaning it is vital that river channel variability and change is represented accurately in GFMs.
Dependency Tree-Integrator Method for Reducing Mislaid Data Errors in Water Demand Prediction
Authors: G Manikannan , K JAYANTHI
Published: January 2025

The water supply demand has grown significantly high par with the increase in population, activities, manufacturing, etc. in recent years. A wide range of research on water demand forecasts based on the accumulated statistical data is formulated to ensure sufficient recommendations on required water supply. Considering these facts, the problem of mislaid water data statistics impacting prediction accuracy is addressed here. This article proposes a Dependency Tree-Integrator Method (DTIM) using linear XGBoost learning to address the aforementioned issue. The proposed method generates two linear dependency trees based on the increasing order of water utilization and equivalent demand from the daily data collected. The presence of mislaid data breaks the linearity of the dependency tree, where classification is performed. This classification differentiates the demand and utilization to regularize the demand. The regularized inputs are integrated to forecast the difference in previous and current utilizations as demands. The dependency tree and the classification processes form the integrity of the linear XGBoost learning. The dependency tree fails if the linearity is interrupted by the mislaid data input that is identified as an error and the differentiation occurs. Through real-time data and statistical analysis, the proposed method’s efficacy is verified using accuracy, precision, mean error, and complexity metrics. Thus proposed DTI method improves prediction precision and accuracy by 11.23% and 11.87% under the different quarters considered.