bluuebunny/crossref_metadata_2025 huggingface dataset:
Political Violence and Women's Participation: Assessing the Impact of the 2023 Nigerian Elections on Women's Political Engagement
Authors: Ugwu Chioma
Published: February 2025

This study examined political violence and
participation of women in politics during the 2023
elections, focusing on the impact on women's
engagement as voters, candidates, and political activists.
Nigerian women continue to confront significant obstacles
to political involvement despite legislative efforts to
advance gender equality, which are made worse by the
violence that frequently follows elections. This paper
focuses on how these types of violence, such as physical
threats, intimidation, internet bullying, and systematic
disenfranchisement, targeted women in particular and
affected their participation in the political process, and the
strategies they employed to navigate the unfriendly
political landscape. The study employed the Feminist
Security Studies (FSS) theory as its theoretical foundation.
Data used in this study were drawn from secondary
sources including journal articles, newspaper
publications, textbooks, social media reports, and election
monitoring reports. Findings from the study show that
political violence dramatically decreased women's
political participation during the 2023 elections. The study
also reveals examples of resilience, where women
enthusiastically participated and even won elections
despite the security challenges. The study ends with policy
suggestions that highlight the need for more robust
legislative frameworks, heightened security, and
improved support to create a safer and more inclusive
election environment for women in Nigeria. The study is
significant as it adds to existing data on Violence Against
Women in Politics (VAWP) which has policy implications
to promote women's political participation and create an
enabling environment for upcoming elections in Nigeria
and elsewhere.
Detrimental Complications of Meconium Aspiration Syndrome; A Cross-Sectional Study at a Tertiary Care Hospital in Pakistan
Authors: Irfan Ullah  , Saba Afzal Shaikh  , Malik Faisal Raza , Hussain Arif , Khan Huma Saleem , Faisal Jaweria
Published: February 2025

Objective: To investigate the detrimental complications associated with Meconium Aspiration Syndrome (MAS) among neonates, focusing on the prevalence of persistent pulmonary hypertension of the newborn (PPHN) and air leak syndrome.
Methodology: This is cross sectional descriptive study conducted at the Pediatrics department of Farooq Hospital in Rawalpindi over six months spanning from July 2023 to December 2023. The study enrolled 167 neonates with a history of meconium-stained amniotic fluid & clinical signs of MAS (tachypnea (respiratory rate >60/min), cyanosis, nasal flaring, grunting and chest retractions). In order to check for air leak and PPHN, diagnostic procedures such as echocardiography and chest X-ray were carried out. Using SPSS 23, statistical analysis was performed on characteristics such age, weight, gender, and complications.
Results: Of the 167 newborns that were enrolled, 17.4% had PPHN, and 11.98% had air leak syndrome. With a mean age of 6.96±6.50 days and a mean weight of 3.081±0.32 kg, male neonates constituted the majority (62.87%). Out of these babies 82% were discharged and 18% babies expired.
Conclusion: The study found that newborns with MAS had a noteworthy frequency of PPHN and air leak
Exploring How Relational Motivations of Extension Educators Influence Mentoring Relationships
Authors: Mueller Ashley , Simonsen Jon , Mott Rebecca
Published: February 2025

The purpose of this grounded theory qualitative research study was to explore how relational motivations influenced mentoring relationships for Extension educators at a Midwestern land-grant university. This study was part of a larger research study that focused on the construction of a theoretical framework that described the mentoring processes experienced by Extension educators. The findings revealed the relational motivations of mentees and mentors that influenced mentorship in Extension, providing new insight about positive work relationships in a specific organizational context. This research study has implications for new employee trainings, mentoring program designs, and professional development opportunities, and it supports further assessment of mentoring and positive work relationships in Extension and, more broadly, agricultural education. Keywords: mentoring; mentorship; extension; professional development
Global Citizenship: Change in Agricultural Teacher Candidates from a High Impact Experience
Authors: Sullivan Mia , Smith Kasee , Foster Daniel , Miller Foster Melanie , Rice Laura , Falk Jeremy
Published: February 2025

Global citizenship is critical to the development of a globally ready 21st century workforce in food, fiber, and natural resources. The global citizenship model utilized in this study includes domains of social responsibility, global competency and global civic engagement. The knowledge, skills, and dispositions of educators are critical factors to the advancement and development of global citizenship in students. Two cohorts of pre-service agricultural teacher candidates occurring in two different programming years from two different agricultural teacher education institutions from different parts of the US were presented the opportunity to participate in a high impact experience through a program lasting a full academic year. We utilized an accepted Global Citizenship Scale modified for the agricultural context and collected data in a pre-post format. Both cohorts of pre-service agricultural teacher candidates increased their global citizenship overall and across all three domains from pre to post assessment after completing the program. Recommendations include continuing and expanding domestic global learning opportunities for teachers to gain necessary global knowledge and skills and further research on differences in gains from domestic to international experiences.
AI-Based Early Prediction and Intervention for Student Academic Performance in Higher Education
Authors: Al-Muharrami Maram Khamis , Al-Sharqi Fatema Said , Al-Rumhi Al-Zahraa Khalid , Al-Mamari Shamsa Said , Khan Ijaz
Published: February 2025

Accurately identifying at-risk students in higher education is crucial for timely interventions. This study presents an AI-based solution for predicting student performance using machine learning classifiers. A dataset of 208 student records from the past two years was preprocessed, and key predictors such as midterm grades, previous semester GPA, and cumulative GPA were selected using information gain evaluation. Multiple classifiers, including Support Vector Machine (SVM), Decision Tree, Naive Bayes, Artificial Neural Networks (ANN), and k-Nearest Neighbors (k-NN), were evaluated through 10-fold crossvalidation. SVM demonstrated the highest performance with an accuracy of 85.1% and an F2 score of 94.0%, effectively identifying students scoring below 65% (GPA < 2.0). The model was implemented in a desktop application for educators, providing both class-level and individual-level predictions. This userfriendly tool enables instructors to monitor performance, predict outcomes, and implement timely interventions to support struggling students. The study highlights the effectiveness of machine learning in enhancing academic performance monitoring and offers a scalable approach for AI-driven educational tools.
AI and ML Powered Feature Prioritization in Software Product Development
Authors: Raj Akhil , Deora Ridhi
Published: February 2025

The landscape of software development has seen a massive shift in the last few years, with rising use of data-driven methods for making product decisions. One area that has made a significant difference is the integration of machine learning and artificial intelligence technologies to inform software engineering practice, including prioritization of product features. Software product feature prioritization is an essential process directly influencing the competitiveness and success of a product. Traditional techniques, though fundamental, tend to fall short in resolving the intricacies of contemporary software ecosystems. This study delves into the revolutionary potential of machine learning (ML) and artificial intelligence (AI) for improving feature prioritization. An extensive literature survey identifies existing trends and their drawbacks, such as inadequate integrated frameworks and scalability and interpretability issues. The suggested framework integrates heterogeneous sources of data, predictive analytics, natural language processing (NLP), and optimization algorithms to support real-time data-driven decision-making.
AI - Powered Customer Segmentation and Targeting: Predicting Customer Behaviour for Strategic Impact
Authors: Seth Shantanu , Chilakapati Phani , Prathikantam Rahul , Jangili Anilkumar
Published: February 2025

Customer targeting has become a critical component of modern marketing strategies, driven by advancements in Artificial Intelligence (AI). This paper presents a novel AI-powered customer segmentation framework that integrates K-Means clustering, Principal Component Analysis (PCA), and Random Forest classification to enhance predictive analytics for strategic marketing impact. The rationale for selecting these methods is thoroughly discussed, highlighting their strengths over alternatives like DBSCAN, LDA, and SVM. Additionally, baseline comparisons and experimental evaluations demonstrate the effectiveness of the proposed approach. Real-world e-commerce datasets are leveraged to illustrate the model’s ability to generate granular customer insights. Unlike prior studies that relied on standalone methods, this research evaluates the comparative advantages of these techniques over alternative clustering and classification approaches. The study also explores emerging trends such as real-time personalization and ethical challenges related to AI-driven targeting.
The Future of Financial Assistance: Leveraging LLMs for Personalized, Human-Like Interactions
Authors: Landolsi Hamza , Abdeljaoued-Tej Ines
Published: February 2025

Generative Artificial Intelligence (GenAI) is transforming the business landscape by enhancing accessibility, efficiency, cost-effectiveness, and innovation. This paper investigates the application of Large Language Models (LLMs) and GenAI in the financial sector, proposing a novel framework to reimagine robo-advisory systems. The framework shifts from traditional, rigid platforms to a more humanized approach that actively engages investors in a personalized asset selection process while leveraging LLMs to better understand their goals and profiles. We present an end-to-end solution designed to address key limitations of conventional roboadvisors, such as inflexibility, restricted asset type offerings (typically limited to equities), and challenges in accessing high-quality, real-time data. The proposed architecture incorporates dynamic client profiling, risk aversion estimation, and portfolio optimization. A tailored asset selector agent, supported by robust data pipelines, ensures the curation of up-to-date market information. Through iterative development, we utilized prompt engineering and multi-agent workflows to refine user interactions and deliver actionable insights. By implementing an innovative chatbot platform, we demonstrate the potential of LLMs to revolutionize customer service, enhance investor engagement, and provide strategic financial guidance. This study highlights the transformative impact of GenAI in creating more adaptive, personalized, and effective financial advisory solutions.
Pengaruh Media Sosial dan Persepsi Harga terhadap Impulse Buying dengan Positive Emotion sebagai Variabel Mediasi
Authors: Farisi Herdian , Rahmawati Dede
Published: February 2025

Penelitian ini menggunakan SEM untuk menguji bagaimana media sosial, persepsi harga, dan emosi positif memengaruhi pembelian impulsif produk kosmetik pada 154 konsumen Gudang Kosmetik Purwokerto. Hasil penelitian menunjukkan bahwa media sosial secara langsung memengaruhi pembelian impulsif, sementara emosi positif berperan sebagai mediator antara persepsi harga dan pembelian impulsif. Temuan yang unik adalah bahwa peneliti tidak menemukan peran mediasi emosi positif dalam hubungan antara media sosial dan pembelian impulsif, mengindikasikan adanya mekanisme yang berbeda dalam memengaruhi konsumen. Temuan ini berkontribusi pada pemahaman yang lebih mendalam tentang perilaku konsumen dalam era digital dan memiliki implikasi penting bagi pengembangan strategi pemasaran yang lebih efektif dalam industri kosmetik.
Los efectos contradictorios del financiamiento público en la educación gratuita
Authors: Psacharapoulos George
Published: February 2025

This paper analyzes the relationship between educational funding and equality of student access to higher education. It is argued that in most countries, the commitment of governments to ensure free education has the contradictory effect of accentuating social disparities, thus increasing the gap between supply and demand in terms of university places.
Such relationships have been taken at the international level with data from a sample of 64 countries. Two indices are examined in relation to each other: a) the degree of effectiveness of the higher education subsidy, and b) the degree of educational inequality (as reflected by the slope of the educational pyramid). The results show that the gap between supply and demand, with respect to the university quota, is relatively greater in the less advanced countries, with the highest degree of subsidy in these same countries. The restriction in terms of real capacity at the school level has created new (non-economic) selection options, tending to restrict access to higher education, with the criteria invariably favoring students from wealthy families.
The present study considers different measures of public funding capable of removing the contradiction that currently prevails between “free” education and erroneous admission restrictions.
ECA Estudios Centroamericanos, Vol. 31, No. 338, 1976: 773-788.
Harnessing Artificial Intelligence for Enhanced Performance Management in Organizations: A Case Study of Safaricom, Kenya
Authors: Nkanata Susan Ndumba , Maina Evelyne Wambui
Published: February 2025

Performance management plays a pivotal role in organizational success by ensuring that employees contribute effectively towards achieving strategic goals. In recent years, the incorporation of artificial intelligence (AI) into performance management has emerged as a transformative trend, providing organizations with new tools to enhance efficiency, objectivity, and overall effectiveness in evaluating and optimizing employee performance. The specific objectives of the study were: assessing the impact of AI integration on performance management, evaluating employee satisfaction within the context of AI-enhanced performance management, and examining the effectiveness of AI in addressing performance gaps at Safaricom. The study adopted descriptive research designs. The study targeted 3250 employees, in (6) departments at safaricom, Kenya. The study used stratified random sampling design to select (4) departments where 165 employees were selected. Data was collected using a semistructured questionnaire and key informant interview guide. Quantitative data was analyzed using SPSS version 22.0 software. Inferential statistics in the form of multiple regression and descriptive statistics were used to analyze the data. Descriptive statistics were presented in tables and figures. Qualitative data was analyzed using content analysis The analysis revealed a significant positive association between AI Integration and Performance Management (Coeff/beta = 0.325, P-Value = 0.045), indicating that each unit increase in AI Integration corresponds to a 0.325 increase in Performance Management. However, Employee Satisfaction within AI lacks statistical significance (Coeff/beta = 0.315, P-Value= 0.075). Effectiveness of AI in addressing performance gaps shows no significance (Coeff/beta = 0.305, P-Value = 0.065). The study concludes that The Impact of AI Integration on enhanced Performance at Safaricom reflects overwhelmingly positive perceptions, particularly in optimizing resource allocation and operational efficiency.
Is There a Demand Pull or Supply Push Between Southwest Border Apprehensions and Employment in the United States?
Authors: Coupet Ernst
Published: February 2025

The effects of immigration on a host country’s economy and welfare have been widely studied. Little research has been done on the causality between immigration patterns and economic factors. The purpose of this study is to empirically test the immigration theory of labor supplydemand pull. The author uses a Vector Error Correction Model and annual data to determine if Southwest Border apprehensions Granger-cause employment level changes in the U.S. The results suggest that U.S. employment and physical capital investments Granger-cause Southwest Border apprehensions in the short run, while U.S. employment, investments, and economic growth Granger-cause SW Border apprehensions in the long run. Shocks to employment and physical investments have nonlinear effects on Southwest Border apprehensions. A 1-millionunit annual increase in employment in the United States leads to a decrease of 80,000 Southwest Border apprehensions the following year. This is followed by an increase of 67,922 apprehensions the year after. This empirical evidence supports the theory that U.S. employment creates demand for Southwest Border apprehensions, not the other way around.
The Impact of Collective Action on Enhancing Crop Productivity: A Multimethod Analysis of Farmers' Groups in Morogoro District, Tanzania
Authors: Magasha Omary , Alex Sadick , Mlage Flora Valentine
Published: February 2025

The purpose of the current study was to assess the impact of collective action on smallholder farmers’ crop productivity. This study is guided by Collective Action Theory and Social Capital Theory which together insist on the necessity of collaboration among individuals to achieve common goals that may not be attainable individually. Cross-sectional design was applied whereby simple random and stratified sampling techniques were used to draw a sample of 204 respondents in which 102 were members and 102 were non-members in farmers’ groups. Data were collected through interview with questionnaires as the main instrument. Collected data were analysed using paired sample t-test, Structural Equation Modeling (SEM), Difference-in-Differences (DiD), and Propensity Score Matching (PSM). The study found that average annual output of all crops produced by the farmers before joining farmers’ group was significantly different from that produced after joining farmers’ group (P <0.05).  Paired sample t-test results indicated the significant difference (p=0.05) farmers’ group members and non-members in crop production. SEM findings show significant positive coefficients for pineapple (β = 0.568), banana (β = 0.059), black pepper (β = 0.058), cinnamon (β = 0.021), cardamom (β = 0.026), and cloves (β = 0.033). PSM results show that demographic factors, income levels, and food security significantly influence participation in collective action initiatives with a common support range for propensity scores between 0.0571 and 0.9878. Furthermore, DiD results depict that there is significant difference (p=0.05) on crop productivity between members in farmers groups and non-members on pineapple, banana, black pepper, cinnamon, cardamom and clove crops. In conclusion, farmers’ group membership has a positive contribution on crop productivity in the study area. Government and other agricultural practitioners should put more effort to support registered farmers’ groups as it has great role in supporting smallholder farmers on crop productivity. Policy interventions is needed to be emphasized on productivity issues, as it appeared to be one of the main barriers to expanding crop productivity.
ANÁLISE DA TAXA DE MORTALIDADE POR INSUFICIÊNCIA CARDÍACA NO PARANÁ: 2010 A 2022
Authors: Kochhann Alyson José , Smolarek Karin Kristina Pereira , Almeida Neto Rogério Gomes de , Menezes Camila Vanin de , Rodrigues Junior Marcio Roberto , Silva Igor Lazaro da
Published: February 2025

A insuficiência cardíaca é uma síndrome que se manifesta por um conjunto de sinais e sintomas, resultantes de qualquer comprometimento estrutural e/ou funcional do enchimento ventricular ou da ejeção de sangue. É considerada como um grave problema de saúde pública, com alta prevalência de óbitos e internações nas redes públicas, dessa forma se torna crucial conhecer as taxas de mortalidade ao longo dos anos. Nesse contexto a presente pesquisa foi realizada através da coleta de dados no datasus, especificamente no Estado do Paraná entre o período de 2010 a 2022, tendo por objetivo avaliar qual a taxa de óbitos totais ao longo dos anos, por idade, sexo além de avaliar a prevalência entre as 4 macrorregiões de saúde do estado. Dos resultados foram registrados 24.268 números de óbitos totais, com um aumento de 8,19% entre o período inicial e final da pesquisa, além de apresentar maior prevalência para o sexo feminino, aumento da mortalidade conforme maior a faixa etária e com maior número de casos por 100 mil habitantes na macrorregião norte. A insuficiência cardíaca é uma condição de grande relevância na atualidade, ressaltando a importância da prevenção e tratamento precoce a fim de diminuir o número de óbitos ao longo dos anos.
ESTIGMAS E NOVOS PARADIGMAS DOS PROFISSIONAIS DE SAÚDE NO CUIDADO DA POPULAÇÃO LGBTQIAPN+ QUE SOFRERAM VIOLÊNCIA: UMA REVISÃO DE LITERATURA
Authors: Guedes Ingrid Victória dos Santos , Oliveira Júnior Wilson Carlos de , Silva Caio Pinheiro da , Silva Erick Soares da , Santos Ketilli Janine Teixeira dos , Marques Jeidson Antonio Morais , Souza Marcio Costa de
Published: February 2025

Esse artigo buscou descrever sobre a influência dos processos formativos dos profissionais de saúde nos estigmas e paradigmas enfrentados no acolhimento ao público LGBTQIAPN+ que sofreu violência  Método: Para isso, foi realizada uma revisão de literatura selecionando e debatendo 6 artigos com o critério de tratarem sobre as violências sofridas pela população LGBTQIAPN+ brasileira no âmbito de saúde sendo produzidos nos últimos 5 anos. Resultados: A discriminação é, por muitas das vezes, gerada pelo desconhecimento e culmina no afastamento das pessoas não heteronormativas dos ambientes de saúde. Entre os diversos fatores de afastamento estão as violências psicológicas sofridas e práticas de saúde voltadas para o modelo biomédico e heteronormativo. Conclusão: Há uma dificuldade em acessar políticas públicas de saúde devido a violência institucional, preconceitos e o despreparo profissional. Nota-se, então, a necessidade de implementar maiores cargas horárias dedicadas ao assunto nos cursos acadêmicos além da melhor qualificação através da educação permanente.
AUTISMO INFANTIL E A INCLUSÃO SOCIAL NOS ESPAÇOS EDUCACIONAIS: DISCUSSÃO NECESSÁRIA
Authors: Souza Antônia Gonçalves de , Barbosa Luciene , Martins Fabiana Mânica , Silva Carla Silvana de Oliveira e , Souza Luís Paulo Souza e
Published: February 2025

O presente estudo teve como objetivo desenvolver uma revisão bibliográfica através da análise da história do autismo desde a sua descoberta até os dias atuais, determinando os registros no país e no mundo e como se encontra o panorama acerca da inserção das crianças autistas nas redes de ensino, visando as possíveis melhorias. Pode-se caracterizar o autismo infantil como um déficit no desenvolvimento social do indivíduo, levando-o a situações como isolamento social, dificuldades no uso de linguagens e comunicação, dificuldade em relações pessoais e inclusão na educação. De acordo com muitos estudiosos, o autismo ainda se encontra em crescente demanda e pesquisas nos últimos anos, sendo extremamente necessária a diversificação e inclusão do tema á sociedade, uma vez que permite a crianças com necessidades especiais o acesso a seus direitos a acesso a métodos de ensino igualitário entre os alunos, seguindo os parâmetros determinados pela legislação.
COMO O ENGENHEIRO DE SEGURANÇA DO TRABALHO PODE REDUZIR GASTOS REALIZANDO AUDITORIA NA ÁREA DE SEGURANÇA DO TRABALHO
Authors: Garcia  Elias Fornazari
Published: February 2025

O Engenheiro ou Arquiteto faz especialização em Engenharia de Segurança do Trabalho e vira Engenheiro de Segurança do Trabalho, para este profissional é conferido a segurança a vida do trabalhador e auditoria nas empresas é parte fundamental para estas garantias. O objetivo deste trabalho é propor maneiras para que através de auditoria na área de segurança do trabalho, o Engenheiro de Segurança do Trabalho possa reduzir possíveis gastos, ou seja, prejuízo a empresa, assim depois de proposto as maneiras, avaliar o seu custobenefício e se elas realmente surtem efeito, na situação de evitar gastos de forma moral e material em pró do trabalhador da empresa. A metodologia foi pesquisa bibliográfica, através de estudos, leituras de documentos, apostilas e artigos, para que pudéssemos elaborar uma metodologia que chegasse em um resultado e conclusão que atendesse ao objetivo deste trabalho. O resultado foi que a auditoria é fundamental, ela diminui os riscos fazendo com a empresa não tenha que arcar com indenizações ou sanções, ela surte efeito e é viável, pois o custo-benefício é muito bom. A conclusão é com a auditoria é possível tornar o ambiente de trabalho tanto segurado para empregador e tanto para empregado, assim uma boa equipe de segurança do trabalho, vai evitar o máximo acidentes e perigos ao trabalhador que pode adoece-lo, incapacita-lo ou leva-lo a óbito.
OS PRINCIPAIS DESAFIOS E PROBLEMAS DA LOGÍSTICA E COMO RESOLVÊ-LOS
Authors: Garcia Elias Fornazari
Published: February 2025

A gestão de logística é responsável por gerenciar, administrar e planejar todas as etapas e processos da melhor maneira, buscando sempre o melhor resultado com o menor custo possível. O objetivo deste trabalho é identificar os problemas e desafios que acarreta prejuízos na Logística, e apresentar soluções razoáveis para estes desafios e problemas na Gestão de logística, assim o objetivo principal deste trabalho é de formar maneiras e argumentos para resolução destes problemas e desafios, seja com inovações ou maneiras de se evitar os desafios e problemas na Gestão de Logística. A metodologia foi desenvolvida através dos objetivos e assim foram feitas análise sistemáticas e bibliográficas para a execução e elaboração deste trabalho. Os resultados foram bons para as maneiras indicadas e promissores para utilização do método Lean Logística, reduzindo uma quantidade adequado dos problemas e desafios da logística. Assim a conclusão foi que o método Lean Logística é um método muito eficiente para os gargalos logísticos.
TRABALHO REPRODUTIVO E CAPITALISMO: A TEORIA DA REPRODUÇÃO SOCIAL COMO FERRAMENTA DE ANÁLISE CRÍTICA
Authors: Berdague Veronica Marques da Costa
Published: February 2025

Este artigo analisa a Teoria da Reprodução Social (TRS) como uma abordagem fundamental para compreender a interdependência entre o trabalho produtivo e reprodutivo no capitalismo. Com base nos estudos de Lisa Vogel, Silvia Federici e Tithi Bhattacharya, uma pesquisa evidencia como a invisibilização e desvalorização do trabalho reprodutivo, exercido majoritariamente por mulheres, sustentam a acumulação capitalista. A partir de uma perspectiva feminista marxista, o artigo discute a relação entre gênero, classe e raça na estruturação da exploração da força de trabalho, destacando a necessidade de integrar as lutas por reconhecimento e valorização do trabalho reprodutivo à luta de classes. O TRS, ao propor uma visão ampliada do capitalismo, desafia a dicotomia entre esfera pública e privada, revelando contradições e caminhos para uma transformação social mais equitativa.
PLATAFORMAS DE MONITORAMENTO ELEVADA NA OPERAÇÃO VERÃO 2024/2025: ANÁLISE DE APLICAÇÃO, VANTAGENS E DESVANTAGENS
Authors: Moraes Anderson Couto de , Serbena Felipe
Published: February 2025

As Plataformas de Monitoramento Elevada (PME) são instrumentos dotados de capacidade de mobilidade, podendo atingir altura de até 12 metros, o que favorece a ostensividade e ampliação do campo de visão do militar estadual no emprego para o controle de multidões e prevenção de crimes. Foram locadas pela Secretaria de Estado de Segurança Pública do Estado do Paraná (SESP/PR) para iniciar fase de testes durante o desenvolvimento da Operação Verão 2024/2025. Esta iniciativa visa suplementar o policiamento ostensivo geral, que atualmente é implementado através de rádio patrulhas, quadriciclos, “Utility Task Vehicle” (UTV) e módulos móveis. Este artigo analisa a aplicação diária, vantagens e desvantagens dessas plataformas. Com intuito de embasar as análises constantes neste artigo, foi elaborado questionário e aplicado a doze militares estaduais que cumprem escalas de serviço na PME.
Diurnal, seasonal, and interannual variations in δ(18O) of atmospheric O2 and its application to evaluate natural and anthropogenic changes in oxygen, carbon, and water cycles
Authors: Ishidoya Shigeyuki , Sugawara Satoshi , Okazaki Atsushi
Published: February 2025

Abstract. Variations in the δ(18O) of atmospheric O2, δatm(18O), are an indicator of biological and water processes associated with the Dole–Morita effect (DME). The DME and its variations have been observed in ice cores for paleoclimate studies; however, variations in present-day δatm(18O) have never been detected so far. Here, we present diurnal, seasonal, and interannual variations of δatm(18O) based on observations at a surface site in central Japan. The average diurnal δatm(18O) cycle reached a minimum during the daytime, and its amplitude was larger in summer than in winter. We found that use of δatm(18O) enabled separation of variations of atmospheric δ(O2/N2) into contributions from biological activities and fossil fuel combustion. The average seasonal δatm(18O) cycle reached at a minimum in summer, and the peak-to-peak amplitude was about 2 per meg (1 per meg is 0.001 ‰). A box model that incorporated biological and water processes reproduced the general characteristics of the observed diurnal and seasonal cycles. A slight but significant secular increase in δatm(18O) by (0.22 ± 0.14) per meg a−1 occurred during 2013–2022. Secular changes in δatm(18O) were also simulated by using the box model considering long-term changes in terrestrial gross primary production (GPP), photorespiration, and δ(18O) of leaf water (δLW(18O)). We calculated changes in δLW(18O) using a state-of-the-art, three-dimensional model, MIROC5-iso. The observed secular increase in δatm(18O) was reproduced by the box model that incorporated the isotopic effects associated with the DME from Bender et al. (1994), while the simulated δatm(18O) showed a secular decrease when the model incorporated the isotopic effects from Luz and Barkan (2011). Therefore, long-term observations of δatm(18O) and better understanding of the DME are indispensable for an application of δatm(18O) to constrain long-term changes in global GPP and photorespiration.
Machine learning data fusion for high spatio-temporal resolution PM2.5
Authors: Porcheddu Andrea , Kolehmainen Ville , Lähivaara Timo , Lipponen Antti
Published: February 2025

Abstract. Understanding PM2.5 variability at fine scale is crucial to assess urban pollution impact on the population and to inform the policy-making process. PM2.5 in-situ measurements at ground level cannot offer gapless spatial coverage, while current satellite retrievals generally cannot offer both high-spatial and high-temporal resolution, with night-time estimation posing further challenges. This study tackles these difficulties, introducing an innovative deep learning data fusion method to estimate hourly PM2.5 maps at 100 m resolution on urban areas. We combine low resolution geophysical model data, high resolution geographical indicators, PM2.5 in-situ ground stations measurements and PM2.5 retrieved at satellite overpass. To simultaneously treat spatial and temporal correlations in our data, we deploy a 3D U-Net based neural network model. To evaluate the model, we select the city of Paris, France, in the year 2019 as our study region and time. Quantitative assessment of the model is carried out using the ground station data with a leave-one-out cross-validation approach. Our method outperforms MERRA-2 PM2.5 estimates, predicting PM2.5 hourly (R2 = 0.51, RMSE = 6.58 μg/m3), daily (R2 = 0.65, RMSE = 4.92 μg/m3), and monthly (R2 = 0.87, RMSE = 2.87 μg/m3). The proposed approach and its possible future developments can be highly beneficial for PM2.5 exposure and regulation studies at fine suburban scale.
Seasonality of meridional overturning in the subpolar North Atlantic: implications for relying on the streamfunction maximum as a metric of AMOC slowdown
Authors: Fox Alan D. , Fraser Neil J. , Cunningham Stuart A.
Published: February 2025

Abstract. Atlantic meridional overturning circulation has a notable seasonal component. This influences the jet stream and the location, frequency and intensity of extreme weather events. Understanding this seasonality is important for mitigating the impacts of AMOC changes on European weather and climate. Here we place meridional overturning and fluxes in a coherent framework. This framework highlights the integral relationship between meridional overturning circulation and property transports, both being functions purely of the overturning streamfunction Ψ. Using this framework we examine the seasonality observed in overturning and density, temperature and freshwater fluxes at the OSNAP line in the subpolar North Atlantic. We find the seasonal cycle of the MOC metric (the standard measure of overturning defined as the maximum of the overturning streamfunction) to be dominated by Ekman transports and the large-scale seasonal cycle of surface density; heat flux to be dominated by barotropic velocity variability; the seasonal cycle of freshwater flux by a combination of barotropic velocities and the salinity in the western boundary current; and density flux to reflect a broad range of characteristics and processes. We show that the MOC metric is a poor predictor, on seasonal time-scales, of either density fluxes or the more societally relevant ocean heat and freshwater transports. This is due to each of these metrics responding to different physical processes. The MOC metric, on seasonal timescales at least, has very high sensitivity to near-surface physical characteristics in a limited geographical area. These characteristics are not necessarily reflective of the fundamental processes driving overturning. Therefore, we suggest caution in the use of the standard MOC metric when studying overturning, and the routine use of the density flux as a valuable additional overturning metric.
Propetips
Authors: Hayashi Maria Cristina Piumbato Innocentini , Chaves Guimarães José Augusto
Published: February 2025

Objetivo: Este estudo tem como objetivo l analisar as contribuições das Propetips – uma série de textos disponíveis na Pró-Reitoria de Pesquisa da UNESP – para a promoção de boas práticas de produção e disseminação científica entre os membros de sua comunidade acadêmica.
Método: Trata-se de pesquisa exploratória-descritiva de cunho teórico e aplicado, com abordagem qualiquantitativa. As categorias temáticas para a análise das Propetips foram desenvolvidas ex-ante com base em uma revisão extensiva da literatura científica sobre scholarly literacy, conceito abrangente que engloba as competências e conhecimentos necessários para a participação efetiva no discurso acadêmico. Na análise qualitativa explorou-se o conteúdo das Propetips para entender como cada uma contribui para as categorias temáticas identificadas, discutindo a relevância e as implicações práticas das orientações fornecidas. Na análise quantitativa foi utilizada a frequência das categorias temáticas e a presença de sobreposições temáticas como indicadores para quantificar a abrangência e o foco das Propetips.
Resultados: Foram identificadas dez categorias temáticas das Propetips atuais (colaboração e redes acadêmicas, desenvolvimento de carreira, estratégias de publicação, financiamento e apoio à pesquisa, gestão de dados da pesquisa, integridade e ética na ciência, métricas científicas, reconhecimento científico, revisão por pares, visibilidade científica). Verificou-se que as categorias “estratégias de publicação” e “ética e integridade” foram as mais frequentes representando 51,2% (n=21) do total. As demais categorias (n=6) abrangeram 34,1% (n=14) do total, e as seis demais foram duplamente categorizadas, pois refletiram a complexidade e a interconexão dos desafios enfrentados no ambiente acadêmico contemporâneo. Para futura expansão das Propetips foram identificadas 12 temáticas (acesso aberto e repositórios científicos, ciência aberta e colaborativa, comunicação científica para públicos não especializados, diversidade, equidade, inclusão e acessibilidade na pesquisa, educação continuada, ferramentas digitais multimídia, de comunicação científica, inovação e empreendedorismo acadêmico, inteligência artificial e pesquisa, processo editorial, retratação de artigos científico, sustentabilidade e pesquisa, tecnologia e inovação em pesquisa). As devolutivas da comunidade acadêmica revelaram o interesse e a importância das Propetips no cotidiano de docentes e pesquisadores.
Conclusões: O estudo evidenciou a relevância e impacto das Propetips na comunidade acadêmica da Unesp, destacando sua contribuição para a promoção da integridade científica e o aprimoramento das boas práticas de pesquisa e publicação. Ademais, demonstrou a importância de inciativas dessa ordem para o letramento acadêmico e científico de estudantes de pós-graduação e docentes jovens na carreira acadêmica.
Divulgação científica em mídias sociais:
Authors: Cristina Oliveira da Silva Ilaydiany , Pereira de Medeiros Iuryanne
Published: February 2025

Objetivo. Este estudo visa mapear globalmente os periódicos científicos eletrônicos de Acesso Aberto na área de Ciência da Informação.
Método. Adota uma metodologia descritiva e explicativa com abordagem quantitativa, a pesquisa utilizou a base de dados Directory of Open Access Journals e a plataforma Altmetrics para coleta de dados.
Resultados. Os resultados mostram que dentre os 157 periódicos identificados, 52 possuem presença nas mídias Facebook, X, Instagram, YouTube e LinkedIn. A maior concentração desses periódicos está no Brasil e nos Estados Unidos, com destaque para as plataformas Facebook e X. Os resultados indicam a necessidade de mais pesquisas sobre a importância crescente das mídias sociais como ferramenta estratégica para a divulgação científica.
Conclusões. O estudo conclui que é importante incentivar os periódicos de Acesso Aberto a adotarem práticas que aumentem sua visibilidade e promovam um acesso mais democrático ao conhecimento científico por meio do marketing científico na web social.
El papel de la Subjetividad Artística en los procesos educativos y terapéuticos que utilizan el arte como soporte relacional
Authors: Del Río Diéguez María , Torres Raquel Navarrete
Published: February 2025

Acompañado de otros acontecimientos históricos, se inició en la Revolución Industrial un proceso de transformación social que afectaría directamente al arte, convirtiendo al sujeto en foco de interés y a la práctica artística en una vía para comprender su subjetividad. Desde aquí, se plantea que los procesos arte-educativos y/o arteterapéuticos implican una forma de Subjetividad, denominada Artística, que quien los acompaña ha de poner en juego. Se busca describirla e identificar claves de acompañamiento.
Se propuso un diseño cualitativo, basado en testimonios directos de 31 artistas plásticos. Se codificaron y analizaron 46 textos, utilizando la metodología de Análisis temático, obteniendo 2 categorías, Concepto de Arte y Proceso de Creación, suficientemente representadas (89% y 74%). Las subcategorías Función, Integrantes del proceso de creación y Motivadores/Impulsores del proceso de creación, se mostraron como buenos descriptores para el constructo Subjetividad Artística.
Finalmente, se define “Subjetividad Artística” como un estado disposicional que permite acceder a la realidad subjetiva, conectar simbólicamente contenidos implícitos con materiales fácticos, adscribirlos a formas visuales y convertirlos en referentes intersubjetivos; siendo claves del acompañamiento arteeducativo y/o arteterapéutico: poner en juego la propia Subjetividad Artística, escuchar desde el sistema Intuición-Emoción-Reflexión, proponer un encuentro sensible a lo Inefable y lo Profundo y generar un espacio que valide e impulse la exploración.
El patrimonio cultural como espacio terapéutico: impacto de la fotografía y los relatos de vida en el bienestar de personas con enfermedad mental
Authors: López Alejandra , Fontal Merillas Olaia , De Castro Martín Pablo
Published: February 2025

Los trastornos de salud mental suelen dificultar el reconocimiento de la identidad, la interacción social y plantean otros desafíos significativos. Este artículo presenta los resultados del taller Memorias en la ciudad: conectando con nuestra identidad, que involucró a personas con diferentes diagnósticos de enfermedad mental en un programa de educación patrimonial. El objetivo de este programa fue promover el reconocimiento de la identidad y mejorar la interacción social a través del uso de la fotografía, relatos de vida y narrativas personales, integrando una página web y una aplicación móvil para la creación de comunidades y como repositorios digitales para almacenar y compartir estas historias. La ciudad sirvió como escenario principal de la intervención, convirtiéndose en un entorno cercano y accesible para el aprendizaje, con el patrimonio cultural como eje central.
La intervención tuvo lugar en el Centro de Día Veinte Metros, de la Fundación INTRAS, en la ciudad de Valladolid. Los resultados evidenciaron mejoras en el bienestar emocional de los participantes y en la cohesión social del grupo. Además, los usuarios adquirieron conocimientos, tanto sobre el patrimonio urbano como de sus propias historias de vida, lo que favoreció un mayor reconocimiento de su identidad. En este sentido, la educación patrimonial se presenta como una herramienta que contribuye a la recuperación de la identidad, mediante el redescubrimiento y comprensión de historias, memorias y recuerdos personales. Este enfoque no solo promueve la inclusión social, también fortalece los vínculos entre los participantes, contribuyendo al bienestar integral de colectivos vulnerables.
INCLUSIVE DEVELOPMENT OF INDIA: A STUDY OF MENSTRUAL HEALTH EDUCATION AMONG ADOLESCENT AND PARENTS
Authors: Verma Raj Shree , Hore Anup
Published: February 2025

Raj Shree Verma, Anup Hore
UNDERPRIVILEGED LEFT BEHIND WIVES OF OUTMIGRANT LABORERS AND THEIR MENSTRUAL HYGIENE: EXPLORING THE CHALLENGES FOR A DEVELOPED INDIA
Authors: Afzal Fahad , Das Arindam
Published: February 2025

Fahad Afzal, Arindam Das
TRANSGENDER HEALTH: A ROADMAP FOR VIKSIT BHARAT
Authors: Agarwal Kirti , Sodani P. R.
Published: February 2025

Kirti Agarwal, P. R. Sodani
AN ANALYSIS OF CORPORATE SOCIAL RESPONSIBILITY FUND SPENDING PATTERNS IN THE BANKING AND IT INDUSTRIES IN INDIA
Authors: Lincy P. T., Dhivya R.
Published: February 2025

Corporate Social Responsibility is gaining importance in the corporate world. CSR has been practiced in India way from 1900’s as a philanthropy activity. CSR was made compulsory through the Companies Act 2013. In this study, the CSR fund spending pattern of Banking & IT industries from the financial year 2014-15 to 2018-19 were analyzed. Ten companies from each industry were chosen and conducted a comparative study using percentage analysis and the trend analysis. The results of the study showed that the spending pattern for CSR has increased in banking and IT industries after it was made compulsory by law and companies which made efficient utilization of their prescribed CSR fund. IT industry has spent more funds for CSR and it has been more profitable than Banking sector. The major activities that were focused by these industries are education, health & well-being, environment sustainability and rural development.
Formal-Informal Supply Chain Linkages and Firm Productivity in Sub-Saharan Africa: The Role of Human Capital
Authors: Djidonou Gbenoukpo Robert , Foster-McGregor Neil , Mathew Nanditha
Published: February 2025

Micro, Small, and Medium Enterprises (MSMEs) play a crucial role in reducing poverty and inequality by generating the majority of jobs, income, and pathways to better employment opportunities. However, informal enterprises are often characterized by low productivity and significant decent work deficits. In Sub-Saharan Africa, where a large share of the workforce is engaged in informal enterprises, transitioning to formality is essential for enhancing productivity, fostering economic growth, and ensuring decent work for all. A critical pathway for informal firms to formalize is through production and worker linkages with formal firms. Using a sample of 13,626 informal firms from three Sub-Saharan African countries, this study examines the performance effects of informal firms with formal linkages and explores the mediating role of human capital. We find that formal backward linkages—where informal firms source inputs from formal firms—are significantly more common than other types of formal-informal linkages. Employing heteroskedasticity-based identification, our findings reveal that the productivity gains from these linkages are not automatic - higher human capital is essential for firms to benefit from knowledge and technology transfers. This highlights the critical role of absorptive capacity in enabling informal firms to leverage knowledge and technology transferred through formal backward linkages, thereby emphasizing the importance of targeted capacity-building interventions in fostering inclusive economic growth.
Las organizaciones comunitarias y el desarrollo local en el sitio San Juan de la ciudad de Manta, año 2023
Authors: Delgado Cedeño Vielka , Pibaque Tigua María , Galarza Schoenfeld Andrés
Published: February 2025

El presente artículo analiza la influencia de las organizaciones comunitarias en el desarrollo local del sitio de San Juan, ubicado en la ciudad de Manta. Se identificó que estas organizaciones desempeñan un papel fundamental al empoderar a la comunidad y fomentar su participación activa en la toma de decisiones sobre asuntos que afectan su entorno social y comunitario. Se adoptó un enfoque metodológico cualitativo, empleando entrevistas semiestructuradas e historias de vida como técnicas de recopilación de información. Esto permitió obtener datos directos y detallados de los actores involucrados, enriqueciendo la comprensión de la interacción entre las organizaciones comunitarias y el desarrollo local. Los resultados de la investigación evidenciaron la presencia activa de organizaciones comunitarias en San Juan, destacando la labor de PAPICORRE. Esta organización se caracteriza por el desarrollo de actividades enfocadas en el reciclaje, acopio y comercialización de material reciclado. El estudio resaltó la participación activa de la comunidad y de los integrantes de PAPICORRE en las iniciativas de la organización, observándose cómo estas actividades promueven la integración y el beneficio colectivo, abordando de manera efectiva las necesidades y problemáticas locales. La investigación pone de manifiesto la importancia de las organizaciones comunitarias como agentes de cambio y desarrollo local en el sitio San Juan de Manta. Su capacidad para empoderar a la comunidad, fomentar la participación y abordar problemáticas locales contribuye de manera significativa al bienestar y progreso de sus habitantes.