bluuebunny/crossref_metadata_2025 huggingface dataset:
Exploring Mediating Impact of Ethical Leadership and Political Behavior on the Interplay between Work Ethic Climate and Job Satisfaction at Middle Technical University
Authors: Mehtari Arani Mohammad
Published: February 2025

This study explores the mediating role of ethical leadership and political behavior in affecting the correlation between work ethic climate and job satisfaction at Middle Technical University. For this purpose, a descriptive correlational research design was utilized to examine the intended outcomes. For collecting the required data, a thirty-item questionnaire was developed to assess the predictions defined by the research topic. Reviewing the existing literature and specialist opinion in organizational psychology was the basis for designing the questionnaire. Subsequently, the questionnaire was pilot-tested to examine the targeted questions' clarity, usefulness, and relevance. The final questionnaire comprised 30 Likert-scale items administered online to 180 randomly selected employees working at Middle Technical University. Data collected from the questionnaire were analyzed using structural equation modeling, Smart PLS, and Pearson correlation coefficient formula. The findings revealed that ethical and political leadership significantly positively affect the relationship between work ethic climate and job satisfaction. The results may have important implications for professional practices, employee well-being, and organizational performance.
Mining Actionable Patterns in Bigdata for Enhanced Human Emotions
Authors: Chatterjee Sanchari , Tzacheva Angelina
Published: February 2025

Action Rules are rule based systems that extract actionable patterns which are hidden in big volumes of data. Huge amount of data gets generated from Education sector, Business field, Medical domain and Social Media, in a single day. In the technological world of big data, massive amounts of data are collected by organizations, including in major domains like financial, medical, social media and Internet of Things(IoT). Mining this data can provide a lot of meaningful insights on how to improve user experience in multiple domain. Users need recommendations on actions they can undertake to increase their profit or accomplish their goals, this recommendations are provided by Actionable patterns. For example: How to improve student learning; how to increase business profitability; how to improve user experience in social media; and how to heal patients and assist hospital administrators. Action Rules provide actionable suggestions on how to change the state of an object from an existing state to a desired state for the benefit of the user. The traditional Action Rules extraction models, which analyze the data in a non distributed fashion, does not perform well when dealing larger datasets. In this work we are concentrating on the vertical data splitting strategy using information granules and creating the data partitioning more logically instead of splitting the data randomly and also generating meta actions after the vertical split. Information granules form basic entities in the world of Granular Computing(GrC), which represents meaningful smaller units derived from a larger complex information system. We introduced Modified Hybrid Action rule method with Partition Threshold Rho. Modified Hybrid Action rule mining approach combines both these frameworks and generates complete set of Action Rules, which further improves the computational performance with large datasets.
La regularización del «quinto año» en el delito fiscal: la insoportable levedad de la prescripción (II)
Authors: De Juan Casadevall Jordi , Tarroja Piera Daniel , Gené Baleyto Gerard , De Miguel Marquès Javier Luis , Arbona Ballester Vicent , Linares Sáez Víctor , López Moya Marcos
Published: February 2025

Este artículo constituye la segunda parte de un trabajo colectivo que aborda, desde sólidas bases teóricas, las consecuencias prácticas de la falta de sincronía temporal de la prescripción tributaria y penal. En particular, se estudia ahora la vinculación del bien jurídico con el principio de legalidad penal, susceptible de amparo constitucional, y sus efectos jurídicos en el delito fiscal con cuota prescrita. Tras exponer la llamada «teoría de la mutación del título», y su cristalización normativa por la reforma penal de 2012, se analiza qué ocurre con la regularización voluntaria de ejercicios fiscales prescritos administrativamente, suscitado el problema de su posible recuperación, que se estudiará en la tercera y última parte del trabajo.
Sedad Bešlija, Hercegovački sandžak u 17. stoljeću (17. Yüzyılda Hersek Sancağı)
Authors: Turbic Enes
Published: February 2025

Sedad Bešlija’nın 2023 yılında kaleme aldığı Hercegovački sandžak u 17. stoljeću (17. Yüzyılda Hersek Sancağı) adlı eser, Saraybosna Üniversitesi Tarih Enstitüsü tarafından yayımlanmış olup, 330 sayfa hacmindedir ve Boşnakça dilinde yazılmıştır. Bu kitap, yazarın 2015 yılında Saraybosna Üniversitesinde savunduğu doktora tezine dayanmaktadır. Kitapta işaret edilen tarih yazımında da vurgulanan temel husus, 17. yüzyıl Bosna Hersek tarihinin en az araştırılan dönemlerden biri olduğudur.
¿Qué puede esperar América Latina de la presidencia de Carter?
Authors: Richard Jim
Published: February 2025

No abstract available.ECA Estudios Centroamericanos, Vol. 31, No. 338, 1976: 791-792.
Random Heterogeneous Neurochaos Learning Architecture for Data Classification
Authors: Ajai A S Remya , Nagaraj Nithin
Published: February 2025

Inspired by the human brain's structure and function, Artificial Neural Networks (ANN) were developed for data classification. However, existing Neural Networks, including Deep Neural Networks, do not mimic the brain's rich structure. They lack key features such as randomness and neuron heterogeneity, which are inherently chaotic in their firing behavior. Neurochaos Learning (NL), a chaos-based neural network, recently employed one-dimensional chaotic maps like Generalized Lüroth Series (GLS) and Logistic map as neurons. For the first time, we propose a random heterogeneous extension of NL, where various chaotic neurons are randomly placed in the input layer, mimicking the randomness and heterogeneous nature of human brain networks. We evaluated the performance of the newly proposed Random Heterogeneous Neurochaos Learning (RHNL) architectures combined with traditional Machine Learning (ML) methods. On public datasets, RHNL outperformed both homogeneous NL and fixed heterogeneous NL architectures in nearly all classification tasks. RHNL achieved high F1 scores on the Wine dataset (1.0), Bank Note Authentication dataset (0.99), Breast Cancer Wisconsin dataset (0.99), and Free Spoken Digit Dataset (FSDD) (0.98). These RHNL results are among the best in the literature for these datasets. We investigated RHNL performance on image datasets, where it outperformed stand-alone ML classifiers. In low training sample regimes, RHNL was the best among stand-alone ML. Our architecture bridges the gap between existing ANN architectures and the human brain's chaotic, random, and heterogeneous properties. We foresee the development of several novel learning algorithms centered around Random Heterogeneous Neurochaos Learning in the coming days.
Manajemen Kesan Customer Relation pada Brand DNVB di Instagram melalui Perspektif Dramaturgi
Authors: Nailir Rochmah Putri Erma , Suminar Jenny Ratna , Aristi Nindi
Published: February 2025

The development of the times and technology has changed the consumer communication landscape, involving social media such as Instagram as the primary medium of interaction between consumers and brands. DNVB Indonesia uses Instagram as a medium of interaction because it can reach consumers more widely. This research explores how DNVB Indonesia utilizes Customer Relationship Management (CRM) and Customer Relationship Officer (CRO) to build consumer interactions and impressions through a dramaturgical theory approach. This study uses a qualitative methodology with an intrinsic case study approach. Data was collected through interviews, observation, and documentation. The research results show that the effectiveness of Instagram use by DNVB Indonesia is supported by a communication strategy that involves the 'mini' character and the active role of CRO in building personal and relevant relationships with consumers. CROs are essential in ensuring satisfying interactions by applying dramaturgical theory to create a positive impression. This theory divides social interactions into front and back stages, with the CRO acting as an actor who must maintain the company's image in front of consumers. These findings provide strategic insights for DNVBs in managing customer expectations and creating more robust and meaningful relationships through digital interactions.
Komunikasi Internal BUMN dalam Menjembatani Kesenjangan Generasi
Authors: Erni Irdewanti  , Yustikasari  , Siti Karlinah
Published: February 2025

As Indonesia's workforce is dominated by Generations Y and Z, understanding and managing such generational differences is crucial for organizations today. This study explores intergenerational communication at PT TWC, a state-owned enterprise, and analyzes the company's efforts to bridge the generational gap. Using a qualitative approach, the researchers conducted observations and interviews with teams managing internal communication. The findings show the communication gap is driven by differences in values, mindsets, and technology preferences between Generations X, Y, and Z. To address this, PT TWC developed an internal "Percaya" campaign with seven programs across formal media (intranet portal, internal social media, town hall meeting) and informal media (community activities and internal sharing sessions). The campaign is led by a task force team from the "cusper" generation, seen as competent to implement programs bridging the intergenerational divide.
Comparison Of Laboratory Examination Results And Clinical Manifestations In Post Chemotherapy Folfox Regimens And Capeox Regimens In Colorectal Cancer Patients At Ibnu Sina Educational Hospital Umi Wakaf Foundation Macassar
Authors: Jannah Miftahul , Rijal Syamsu , Aulia Nur , Julyani Sri , Erida Hasbi Berry
Published: February 2025

Colorectal cancer (CRC) is the fourth leading cause of death in the world, often associated with an unhealthy diet, including low consumption of fruits, vegetables, and fiber, and high intake of red meat. This study aims to compare the results of laboratory examinations and clinical manifestations in patients undergoing chemotherapy using Folfox and CapeOX regimens at Ibnu Sina Teaching Hospital, UMI Waqf Foundation, Makassar. The method used was descriptive design with cross-sectional approach and purposive sampling technique. The results showed that in Folfox regimen chemotherapy patients, there were 90.9% with low erythrocytes and 95.5% with low hemoglobin, while in CapeOX regimen, 59.1% of patients had low erythrocytes. Of the 22 patients in each regimen, 14 patients (Folfox) and 9 patients (CapeOX) reported complaints. Comparison of leukocyte examination between the two regimens showed a significant association with a p-value of 0.044 (p<0.05), while examination of erythrocytes, platelets, hemoglobin, blood sugar, and clinical manifestations did not show a significant association (p>0.05). This study provides insight into the impact of each chemotherapy regimen on the patient's condition.
Inequality of Thought (IOT) on HIV-Aids and LGBT Through Social Media: A Case Study Gen Z in JPC Foundation
Authors: Puspitaloka Mahadewi Erlina , Reza Hilmy Mohamad , Chairun Nisa Puspita , Pamungkas Ario , Purnama Suryari , Harahap Arman , Pantja Djati Sundring
Published: February 2025

The study focused on the purpose of finding out the effect and covering the views and acceptance of LGBT. Jakarta Indonesia is beginning to be seen clearly, especially the large amount of LGBT content both on television stations and on social media at home and abroad. This is very worrying because shows that LGBT is a risk factor for sexually transmitted infections (STIs) including HIV/AIDS. Unsafe sex, drugs, and many sexual partners, make LGBT people more susceptible to STIs. This study aims to determine the description of knowledge about STIs and attitudes towards the LGBT phenomenon in society, especially among young Gen Z people who still have the impact of inequality of thinking in social media. This study is a qualitative descriptive study conducted from October to December 2024. Data collection used a google form questionnaire. The sample consisted of 75 respondents who were members of the community fostered by the "Jakarta Plus Center (JPC)" Foundation. The sampling technique used was purposive sampling. The data is presented in a frequency table. The results of this study showed that most respondents had good general knowledge about STIs but lacked in more specific knowledge questions in medicine. The acceptance and views of the community in this community towards the LGBT phenomenon are quite low. People in the community consider LGBT to have a negative impact on life, although respondents agree that the human rights of LGBT people as humans must still be protected and respected, as they see on social media.
Stage-Specific Pathological Features Of Chronic Kidney Disease: An Article Review
Authors: Indriani Intan , Dwi Nopriansyah Wely , Ishak Hutasoit Januar
Published: February 2025

Chronic Kidney Disease (CKD) is a major global health challenge, with increasing prevalence, particularly in developing countries. CKD is characterized by a gradual and irreversible decline in kidney function, often progressing to End-Stage Renal Disease (ESRD). The pathophysiology of CKD involves structural and functional deterioration in various renal compartments, including the glomerulus, tubules, interstitial tissue, and blood vessels. Histopathological changes play a critical role in disease progression, with interstitial fibrosis, glomerulosclerosis, and tubular atrophy being the hallmark lesions observed across different CKD stages. This review highlights the anatomical pathology of CKD at various stages, focusing on histopathological changes, diagnostic techniques, and factors influencing disease progression. Renal biopsy remains the gold standard for assessing kidney damage, utilizing special stains such as Periodic Acid-Schiff (PAS) to identify fibrosis and sclerosis. However, noninvasive biomarkers like Neutrophil Gelatinase-Associated Lipocalin (NGAL) and Kidney Injury Molecule-1 (KIM-1) have emerged as promising tools for early detection. Studies indicate that histopathologic findings, including interstitial fibrosis and glomerulosclerosis, often correlate with CKD progression more accurately than estimated glomerular filtration rate (eGFR) alone. This review underscores the need for integrating histopathological, clinical, and molecular biomarkers to improve CKD diagnosis and management. A better understanding of kidney pathology can facilitate early detection, refine prognostic assessments, and enhance treatment strategies. Future research should focus on noninvasive diagnostic alternatives and novel therapeutic targets to slow CKD progression and mitigate its global health burden.
Martynka’s Refugee Support on Third-party Platforms Risks Data Security
Authors: Jeziorek Marika
Published: February 2025

Martynka is a digital platform created in March 2022 by Nastya Podorozhnya, a Ukrainian living in Poland at the time, to provide legal aid, geolocation tracking and psychosocial support to Ukrainian refugee women. Built as a chatbot on Telegram, the platform offers services in Ukrainian, Russian, Polish and English and is accessible to women both in Ukraine and in Poland. However, Martynka faces several governance challenges, including significant concerns about data privacy and security due to its reliance on Telegram, a third-party application with a controversial reputation for data handling. Additionally, digital inequality presents a challenge, in particular within conflict zones, where access to technology and digital literacy are limited.

As Martynka continues to serve women refugees, it faces increasing pressure to balance real-time security needs, such as geolocation tracking, with data privacy concerns. These governance challenges, along with operational hurdles such as financial sustainability, highlight the platform’s dependence on partnerships with state and non-state actors to address gaps in protection and support.
Can the World Trade Organization Reduce Technological Inequality Among Nations?
Authors: Carr Peter
Published: February 2025

A rising inequality between developed and least developed countries (LDCs), as well as between LDCs themselves, has prompted the World Trade Organization (WTO) to review the role of technology in this equation. The United Nations defines LDCs as countries that are “confronting severe structural impediments to sustainable development” and are “highly vulnerable to economic and environmental shocks and have low levels of human assets.” Forty-four countries are currently designated by the United Nations as LDCs.

The global economy has changed significantly as a result of globalization and the advance of technology. These changes continue today, in particular since the COVID-19 pandemic, and include increasingly protectionist policies, regionalization of trade and rising inequality between and within countries. The WTO, the body responsible for enabling countries to collaborate in global trade, is reviewing its role in the new international economic environment.
Empowering Young Citizens with Artificial Intelligence: A Key Driver for Smart City Evolution
Authors: SZYMANSKA Anna Irena
Published: February 2025

Artificial intelligence (AI) is widely recognized as a critical driver of social change and economic development. Numerous analyses have been conducted to explore the applications of AI across various domains of human activity, especially in the city space. The pivotal role of creative citizens in shaping the development of sharing smart cities has been frequently highlighted. However, a research gap has been identified, particularly in relation to the differentiation of behaviours among individual generations in this area. In light of this, the main objective of the article is to examine the declared interest in and use of AI-based solutions among members of Generation C, who are also active participants in urban spaces. AI-driven technologies play a crucial role in the evolution of smart cities. Access to such solutions, coupled with the ability to integrate them into daily life, significantly enhances the position of young urban citizens compared to other city residents. This not only facilitates the effective use of sharing economy solutions but also streamlines the management of urban infrastructure. The research framework used in this article is based on a literature review examining the evolution of society in response to economic and technological transformations. It also incorporates qualitative research utilizing the method of focused group interviews (FGI). The collected empirical data were subjected to semantic field analysis, which facilitated the reconstruction of two definitions explaining the perception of AI as a phenomenon. Furthermore, the paper presents the participants’ statements on the benefits and risks associated with the integration of AI into the daily lives of urban residents. These considerations culminated in the development of a conceptual model for Sharing Smart City.
Urban Flooding in the Cities of Kisumu, Mombasa, and Nairobi, Kenya: Causes, Vulnerability Factors, and Management
Authors: Oluchiri Stanley Omuterema
Published: February 2025

This research investigates the complex urban flooding dynamics of Kisumu together with Mombasa and Nairobi cities in Kenya. Since both human-caused urban growth and climate change effects simultaneously produce more non-absorptive surfaces. conditions have worsened globally. The problem of urban flooding in Africa deepens when countries fail to plan their cities correctly and continue to deteriorate their environments. The recent floods in Kenya have produced catastrophic outcomes which make it vital to implement strong flood management methods that adhere to national climate action plans. Based on environmental justice and urban metabolism theories, this study employed qualitative and descriptive research methods to investigate urban flooding in Kisumu, Mombasa, and Nairobi, Kenya. It relied on purposive sampling to select data sources, including government reports, NGO publications, and academic journals. Primary and secondary data were analyzed through structured data analysis to categorize findings systematically. The research utilized qualitative techniques for in-depth exploration and descriptive methods to explain factual data. An online review of databases spanning a decade ensured data reliability, while expert insights from urban planners and flood management officials enhanced methodological rigour. Experts have proved that economic differences create more exposure to flooding within lower-income neighbourhoods besides failing institutions in planning and communication that heighten risks. The irregular rainfall patterns of global warming create additional stress for urban flood operations. Through the combination of urban metabolism and environmental justice concepts the research study demonstrates how resources get distributed unfairly and environmental risks affect selected populations unequally. The research indicators show the need to merge disaster risk reduction requirements directly into socio-economic urban development programmes. This research demonstrates the need for better community participation alongside improved institutions and sustainable urban development programmes which need to protect urban areas from floods. Future investigations should concentrate on building adaptable urban planning systems which dynamically react to environmental changes and social-economic fluctuations to include every community segment within flood risk approaches. The process requires the examination of advanced technology systems for forecasting floods as well as building community-driven resilience methods to achieve better disaster response control at a local level.
An Evaluation of the Effect of Introduction of Mobile Phone Use in Ante-Natal Care (ANC) in Ikolomani Sub County, Kakamega County, Kenya
Authors: Kasaya Gertrude , Kariuki John , Muchiri Joseph
Published: February 2025

Mobile phone technology has revolutionized communication, making information and services more accessible, and fostering innovations in healthcare, particularly in maternal and child health (MCH). Timely interventions in healthcare can significantly improve outcomes for mothers and newborns. However, maternal and neonatal mortality rates remain high worldwide, with approximately 830 maternal deaths daily due to pregnancy or delivery complications. Almost all maternal deaths occur in developing countries, with rural and poorer mothers at greater risk. Additionally, around 2.8 million newborn deaths happen annually within the first 28 days of life, accounting for 45% of all under-five child deaths. This study aimed to assess the impact of introducing mobile phone use in antenatal care (ANC) in Ikolomani Sub County, Kakamega County, Kenya. Unified Theory of Acceptance and Use of Technology (UTAUT) theory guided this research. The research utilized a correlational design, employing correlation and regression analysis to examine the relationship between mobile phone interventions and maternal health outcomes. The target population consisted of women of reproductive age in Ikolomani Sub County, with a sample size of 298 drawn using the Cochran Formula from a population of 32,803. Data were collected using the Kenya Health Information System (KHIS), ensuring a comprehensive and representative dataset. Data were analyzed using descriptive statistics and hypothesis testing, regression analysis, and Chi-Square tests were used to determine the association between mobile phone use and ANC outcomes. The findings indicated a positive trend, with 74.7% of participants confirming the use of mobile phones for ANC data capture. Regression analysis showed a significant positive association between mobile phone usage and ANC attendance (B = 0.285, p < 0.001), with mobile phone use accounting for 42.5% of the variation in ANC attendance. These results highlight the potential of mobile health interventions to enhance maternal healthcare delivery. This research concluded that introduction of mobile phone use has positively impacted ANC attendance in Ikolomani Sub County. Based on the positive impact observed, it is recommended that mobile technology be further integrated into maternal health services to improve data capture and accessibility for pregnant women.
Challenges in the Interplay between Ethnic Identity and Economic Development in Western Kenya since 1963
Authors: Mukanda Samuel Wafula
Published: February 2025

This article delved on the relations that co-exist between ethnic identity and economic development with a special focus on Western part of Kenya. Its main objective focused on the challenges arising from the two entities. Various literatures were reviewed that built on the findings of the study. Interpretivism philosophy ideas were used to inform the findings supplemented by instrumental Marxism and Relative Deprivation Theories. Due to its historical nature, the research adopted historical research design. The research targeted 47 ethnic groups in Kenya, and therefore, due to the use of purposive and snowball techniques, the sample size reached was 192 respondents. Oral interviews, Focus group discussions and Open ended questionnaires were used to collect data, supplemented by secondary sources. Data collected was analyzed both by use of content and thematic techniques.  The research article found out that; ethnic divisions have often fueled political instability, leading to periodic episodes of violence, electoral tensions, and governance crises not only in western Kenya, but also nationally and even globally. Conclusively, it is recorded that; the polarization of ethnic identities in public discourse adds another layer of complexity, hindering the potential for inclusive growth and fostering division. Finally, the research article recommends that; promoting inclusive governance that ensures fair representation and participation of all ethnic groups in decision-making processes will help reduce political instability and foster unity.
PLURALISMO JURÍDICO E DIREITOS HUMANOS: DESAFIOS E OPORTUNIDADES NA BUSCA POR JUSTIÇA INCLUSIVA
Authors: Botelho Marcelo Henrique Nunes , Silva Gabriel Beltrão Guerra , Almeida Suenya Talita de
Published: February 2025

Ao longo dos anos, a normatização construída e imposta pelo Estado através de instrumentos legais para regular as relações sociais passou a apresentar consideráveis lacunas, exigindo uma reordenação jurídica diante das novas demandas apresentadas em razão dos novos conceitos, sociabilidades, reordenações e epistemes originados da evolução dos indivíduos e das relações sociais. A diversidade de fontes do pluralismo jurídico apresenta desafios significativos para a proteção efetiva dos direitos humanos, pois a harmonização, aplicação e reconhecimento dessas fontes em busca de uma justiça que alcance a todos nem sempre é uma tarefa simples. Assim, o presente artigo científico tem como objetivo analisar as implicações do pluralismo jurídico na proteção e promoção dos direitos humanos, tendo como objetivos específicos discorrer acerca da origem e dos fundamentos no pluralismo jurídico no Brasil, identificar os desafios e as oportunidades decorrentes da coexistência de diferentes sistemas jurídicos, para construir uma justiça mais abrangente, inclusiva e acessível, e analisar o pluralismo jurídico como justiça inclusiva. Nesse artigo científico fizemos uma revisão de literatura, fundamentado em legislação, teorias e análise textual através de revisões bibliográficas que abrangeu normas vigentes, doutrinas, artigos e revistas científicos e sites de fontes confiáveis.
Exploring Complexity Measures for Analysis of Solar Wind Structures and Streams
Authors: Koikkalainen Venla , Kilpua Emilia , Good Simon , Osmane Adnane
Published: February 2025

Abstract. In this paper we use statistical complexity and information theory metrics to study structure within solar wind time series. We explore this using entropy-complexity and information planes, where the measure for entropy is formed using either permutation entropy or the degree distribution of a horizontal visibility graph (HVG). The entropy is then compared to the Jensen complexity (Jensen-Shannon complexity plane) and Fisher information measure (Fisher-Shannon information plane), formed both from permutations and the HVG approach. Additionally we characterise the solar wind time series by studying the properties of the HVG degree distribution. Four types of solar wind intervals have been analysed, namely fast streams, slow streams, magnetic clouds and sheath regions, all of which have distinct origins and interplanetary characteristics. Our results show that, overall, different metrics give similar results but Fisher-Shannon, which gives a more local measure of complexity, leads to a larger spread of values in the entropy-complexity plane. Magnetic cloud intervals stood out in all approaches, in particular when analysing the magnetic field magnitude. Differences between solar wind types (except for magnetic clouds) were typically more distinct for larger time lags, suggesting universality in fluctuations for small scales. The fluctuations within the solar wind time series were generally found to be stochastic, in agreement with previous studies. The use of information theory tools in the analysis of solar wind time series can help to identify structures and provide insight into their origin and formation.
Satellite-based modeling of wetland methane emissions on a global scale (SatWetCH4 1.0)
Authors: Bernard Juliette , Salmon Elodie , Saunois Marielle , Peng Shushi , Serrano-Ortiz Penélope , Berchet Antoine , Gnanamoorthy Palingamoorthy , Jansen Joachim , Ciais Philippe
Published: February 2025

Abstract. Wetlands are major contributors to global methane emissions. However, their budget and temporal variability remain subject to large uncertainties. This study develops the Satellite-based Wetland CH4 model (SatWetCH4), which simulates global wetland methane emissions at 0.25° × 0.25° and monthly temporal resolution, relying mainly on remote-sensing products. In particular, a new approach is derived to assess the substrate availability, based on Moderate-Resolution Imaging Spectroradiometer (MODIS) data. The model is calibrated using eddy covariance flux data from 58 sites, allowing for independence from other estimates. At the site level, the model effectively reproduces the magnitude and seasonality of the fluxes in the boreal and temperate regions but shows limitations in capturing the seasonality of tropical sites. Despite its simplicity, the model provides global simulations over decades and produces consistent spatial patterns and seasonal variations comparable to more complex land surface models (LSMs). Such an independent data-driven approach based on remote-sensing products is intended to allow for future studies of intra-annual variations in wetland methane emissions. In addition, our study highlights uncertainties and issues in wetland extent datasets and the need for new seamless satellite-based wetland extent products. In the future, there is potential to integrate this one-step model into atmospheric inversion frameworks, thereby allowing for the optimization of the model parameters using atmospheric methane concentrations as constraints and hopefully better estimates of wetland emissions.
Comportamento sexual de risco em adolescentes: análise de conceito
Authors: De Andrade Fernanda Belmiro , De Abrantes Rogéria Moreira , Viega Natália de Oliveira , Oliveira Isabelle Christine Marinho , Fernandes Maria Isabel da Conceição Dias , Lira Ana Luiza Brandão de Carvalho , Feijão Alexandra Rodrigues
Published: February 2025

Objetivo: analisar o conceito de comportamento sexual de risco na adolescência segundo Walker e Avant. Método: trata-se de uma análise de conceito desenvolvida de acordo com 8 etapas propostas por Walker e Avant. A coleta de dados deu-se por meio de uma revisão de escopo no período de dezembro/2022 a janeiro/2023. Foram incluídas publicações que responderam à questão do estudo disponíveis na íntegra no Portal de Periódico CAPES.  Excluíram-se os editoriais, cartas ao editor, artigos de opinião, estudos de revisão e reflexão. Resultados: incluíram-se 64 estudos de origem brasileira, com predomínio do ano de 2022. Os atributos do conceito estudado foram iniciação sexual precoce; sexo desprotegido; múltiplos parceiros e/ou de risco; sexo transacional; sexo excessivo; sexo casual, em grupo, oral e anal; bissexualidade; sexo com profissionais. Identificaram-se 13 antecedentes e 7 consequentes. Conclusão: percebeu-se que o comportamento sexual de risco perpassa por aspectos individuais, coletivos, familiares, econômicos, e de gênero. Além disso, a saúde e a vida dos adolescentes podem ser afetadas devido à possibilidade de contaminação pelo Vírus da Imunodeficiência Humana e outras Infecções.
‘Proximidade’ e ‘Escuta’
Authors: De Medeiros Pereira Diego , Regina Coelho Sandra
Published: February 2025

O presente texto trata de uma reflexão acerca de características que tem marcado o Movimento do Teatro para Bebês e Primeira Infância no Brasil. São apresentadas pistas acerca da história desse segmento, bem como grupos e iniciativas que têm se destacado na produção de espetáculos para crianças desse recorte etário e na defesa do direito dessas crianças ao acesso ao teatro. O trabalho do Eranos Círculo de Arte é analisado tendo como suporte teórico a Pedagogia Reggio Emilia, ao levar em conta similaridades dessa abordagem com aspectos que têm sido defendidos pelo citado grupo. Aponta-se para a necessidade de uma cena contemporânea que acolha os bebês, crianças mais novas e seus familiares de acordo com seus modos de vida e expressão.
Boiling of Subcooled Liquid in a Flat Minichannel with a Graphene Coating
Authors: Kocikin D.Yu. , Arhipov V.E. , Korepanova E.M. , Zaitev D.V.
Published: February 2025

Boiling occurs in many energy technologies, including thermal stabilization systems, where heat is removed from the wall due to the latent heat of vaporization of the coolant. Applying coatings to the heat-generating surface is one of the ways to enhance heat transfer during boiling. Carbon nanocoat-ings, such as graphene, are among the promising coatings for improving heat transfer. The main objec-tive of the study is to determine the effect of graphene coating on heat transfer and the dynamics of vapor bubbles during water boiling in a flat, smooth minichannel. To achieve this goal, a minichannel with a height of 1.15 mm and a width of 10 mm was used. Boiling was implemented on the end of a copper sample with a cross section of 10 × 10 mm2, flush pressed into the lower wall of the channel. To determine the effect of the graphene coating on the bubble dynamics and heat transfer during water boiling in a minichannel, graphene was mechanically removed from the surface of copper samples in a number of experiments. The most important result is that the graphene coating provides a greater number of vaporization sites compared to the original copper without graphene, but does not have a significant effect on the heat transfer coefficient and boiling curves. It was also found that the graphene coating is unstable on the copper surface and is almost completely destroyed during boiling for several tens of minutes. The significance of the obtained results lies in determining the stability of the graphene coating, as well as its influence on heat exchange during boiling of water in a minichannel.
Scheme for Processing Mainline Gas at Gas Distribution Stations Using Regenerative Heat Exchangers
Authors: Baranov A.Iu. , Kravcenko Yu.A. , Kravcenko D.V. , Baranov M.V.
Published: February 2025

The article presents the results of a study on optimization of the natural gas purification and drying process in the production of liquefied natural gas (LNG) at gas distribution stations (GDS). The aim of the work is to reduce energy costs at a small-scale natural gas liquefaction plant. To achieve this goal, the following tasks were solved: analysis of existing process flow charts for obtaining LNG at GDS and formulation of their advantages and disadvantages, description of a mathematical model of a recuperative heat exchanger. As part of the study, an analysis of small-scale LNG production technologies was carried out, which showed that the most attractive in terms of energy costs is obtain-ing liquefied gas in a throttle cycle, and their disadvantages associated with the organization of the processes of drying and cleaning natural gas before liquefaction are shown. The most important result of the study is the development of a process flow chart for processing main gas at GDS using recuper-ative heat exchangers. The significance of the results lies in reducing energy costs for the processes of gas preparation for liquefaction in the liquefied gas production unit at gas distribution stations. The paper describes a mathematical model of a recuperative heat exchanger developed for setting up a computational experiment to assess the efficiency of recuperative heat exchangers in a natural gas liquefaction cycle, as well as for modeling the processes occurring in recuperative heat exchangers of liquefied natural gas production plants.
Pengembangan E-Modul Fisika Berbasis Creative Problem Solving Berbantuan Flipbook Maker di SMAN 1 Siberut Utara
Authors: Salamao Nirwantika , Anaperta Megasyani , Rahmi Aidhia
Published: February 2025

Berkembangnya sebuah teknologi, pendidik dituntut untuk kreatif dalam menggunakan teknologi baik dari segi perangkat pembelajaran serta proses pembelajaran berlangsung. Pendidikan yang telah disesuaikan dengan kemajuan teknologi belum mencapai hasil yang diharapkan. Belum pernah memanfaatan bahan ajar seperti e-modul yang dapat diakses setiap saat. Tujuan dari penelitian ini adalah untuk mengatasi masalah keterbatasan buku paket dan mengembangkan e-modul fisika berbasis Creative Problem Solving (CPS) yang dapat digunakan oleh siswa kelas XI F1 di SMAN 1 Siberut Utara. Jenis penelitian ini adalah penelitian pengembangan Research and Develop (R&D) dengan model pengembangan 4-D, yaitu define, design, develop dan disseminate. Subjek penelitian ini yaitu peserta didik kelas XI F1 SMAN 1 Siberut Utara sebanyak 28 orang. Instrumen dalam penelitian ini berupa angket validitas dan praktikalitas. Aspek yang dinilai untuk validasi materi yaitu aspek kelayakan isi, kontekstual, penyajian dan bahasa. Kemudian validasi media yaitu desain cover dan desain isi e-modul. Untuk aspek penilaian praktikalitas adalah ketertarikan, materi dan bahasa.  Hasil analisis diperoleh e-modul fisika berbasis Creative Problem Solving yang dikembangkan dikategorikan sangat valid dengan skor 88,64 %. Validitas e-modul divalidasi oleh satu dosen ahli media dan dua ahli materi. E-modul fisika juga dikategorikan sangat praktis dengan skor 93,20%. Kepraktisan ini dinilai oleh 28 peserta didik dan 1 pendidik bidang studi fisika dengan aspek penilaian yaitu ketertarikan, materi dan bahasa.
A Tribute to Dr. Manmohan Singh
Authors: Dr. S.Thirunavukkarasu
Published: February 2025

Dr. Manmohan Singh, the 13th Prime Minister of India was an academician, bureaucrat and politician known for his integrity, quiet determination, intellectual rigor, cautious diplomacy, and steady economic stewardship. He was known for his testament to the power of intellect, humility, and perseverance. As a distinguished economist he was an architect of India's economic renaissance and transformation. India will remember him for his pivotal role in the implementation of economic reforms. Dr. Singh’s true mettle came to limelight in 1991 as a finance minister in the Prime Minister P.V. Narasimha Rao’s regime. It was because Indian economy was grappling with a severe economic crisis, severe balance of payments crisis, high inflation, and a rapidly depreciating rupee against US dollar he brought economic reforms to our country. His policies were unique and departed from his political parties’ ideologies and brought many subtle changes and also instrumental for transforming India into one of the world's fastest-growing economies. His stewardship laid the foundation for a new and dynamic India, fostering rapid growth and integration into the global economy.
Optimization of investment portfolios in renewable energy using advanced financial modeling techniques
Authors: Experience Efeosa Akhigbe  , Nnaemeka Stanley Egbuhuzor  , Ajibola Joshua Ajayi  , Oluwole Oluwadamilola Agbede
Published: February 2025

The growing emphasis on sustainability and decarbonization has driven significant investment into renewable energy markets. Optimizing investment portfolios in renewable energy is crucial for maximizing returns, minimizing risks, and ensuring alignment with global climate goals. This study explores the application of advanced financial modeling techniques to optimize renewable energy portfolios, leveraging data-driven approaches and machine learning algorithms to address the unique challenges of this emerging sector. The research employs a combination of traditional portfolio optimization models, such as the Markowitz Modern Portfolio Theory (MPT), and advanced methods like Monte Carlo simulations, scenario analysis, and machine learning-based predictive analytics. By incorporating real-time market data, historical price trends, and risk metrics, these models aim to identify optimal asset allocations across diverse renewable energy segments, including solar, wind, hydropower, and bioenergy. Additionally, sustainability metrics, such as carbon reduction potential and Environmental, Social, and Governance (ESG) scores, are integrated into the optimization framework to align investment strategies with ethical and environmental objectives. Results indicate that incorporating machine learning techniques, such as reinforcement learning and neural networks, enhances the accuracy of price forecasts and risk assessments. This enables investors to dynamically adjust portfolio strategies based on changing market conditions. Furthermore, integrating ESG metrics improves long-term portfolio performance by reducing exposure to regulatory and reputational risks. The study provides actionable insights for institutional investors, fund managers, and policymakers on constructing robust renewable energy portfolios that balance financial returns and sustainability objectives. It underscores the importance of advanced financial modeling in addressing the complexities of renewable energy investments, including high capital costs, policy uncertainties, and fluctuating market dynamics. This research contributes to the growing field of sustainable finance by offering a comprehensive framework for optimizing renewable energy investment portfolios. Future studies will explore the integration of blockchain for enhancing transparency and real-time tracking of asset performance in renewable energy markets.
Anticipated Developments in AI and Big Data: Forecasts for 2030
Authors: Harvey William
Published: February 2025

Big data & AI are the revolutionizing sectors & changing society structures, therefore bringing hitherto unheard-of changes in our personal lives & the workplace. By means of transforming applications such as personalized medicine, predictive analytics, autonomous systems & the intelligent automation, artificial intelligence's capacity to learn, reason & the adapt positions it to revolutionize decision-making across many sectors, including healthcare, finance, education & the manufacturing. Big Data simultaneously fuels these advances by enabling the collection, analysis & the interpretation of vast amounts of information at unparalleled velocities & the magnitudes, hence exposing trends and insights that inspire invention. Working together, artificial intelligence and big data creates innovative ideas ranging from supply chain efficiency to climate change prevention that could help to address complex problems. Still, this fast development comes with challenges; data privacy, ethical AI usage, algorithmic biases & the cybersecurity risks are growingly important. Legal & social systems have to develop to ensure the appropriate uses of latest technologies, thereby combining innovations with justice & the accountability.
How Artificial Intelligence is Improving Human Communication with the Processing of Natural Language
Authors: Harvey William
Published: February 2025

An crucial artificial intelligence area, NLP links human language with computer understanding. Robots enabled by this technology can naturally & the intuitively understand, interpret & synthesize the human language. From its early stages, natural language processing has been advanced thanks to breakthroughs in ML and deep learning, hence enhancing the accuracy & fluidity of HCI. As NLP technologies develops, they will be provide more inclusive, efficient, and tailored channels of communication, therefore profoundly changing human-machine interaction. NLP seeks to build a more linked society where language does not hinder communication by improving accessibility and removing linguistic obstacles. Rapidly becoming a necessary tool in the AI space, NLP has the ability to transform everyday interactions and promote innovation across many industries, therefore announcing a future in which fluid, natural communication is normal rather than uncommon.
Nastavnik u susretu sa zahtjevima prakse odgojno-obrazovne inkluzije
Authors: Kordić Milenko
Published: February 2025

Most teachers believe that they are not educated properly for the work with students with special needs. Frequently they express their need for aditional training within proper working methodology in order to achieve knowledge and skills which will improve their professional work. Some of them feel educated enough, but express their displeasure for not being recognized as experts, in other words their professional development and individual initiative; efforts and improvement are not validated in adequate way. Half of interviewed teachers believe that children with special needs should be included in regular classrooms. The other half of interviewed teachers believes that inclusion of children with special needs in regular classrooms can not give good results. Although teachers are pleased with the quality of their cooperation with other teachers, the impression is that they operate more as individuals, one besides the other, and less as a team. Quality of teacher/parents cooperation is crucial for work with students with special needs to be successful.
Percepciones sobre el consumo de drogas con fines recreativos en los estudiantes de la ULEAM
Authors: Cantos Bermúdez Joselett Narcisa , Moreira Valencia Jazmin Estefania , Álvarez Santana Carmita Leonor
Published: February 2025

El artículo da cuenta de la investigación percepciones del consumo de drogas con fines recreativos entre estudiantes de la Universidad Laica Eloy Alfaro de Manabí, identificando factores determinantes asociados con este comportamiento, las causas y efectos del consumo recreativo de drogas entre estudiantes universitarios, destacando su creciente prevalencia como uno de los principales problemas de salud pública, se identificó factores inherentes que influyen en el consumo de drogas, con una visión detallada de las motivaciones y contextos que rodean esta práctica en el ámbito Universitario. Este enfoque integral permitió explorar las causas subyacentes del consumo recreativo de drogas y si los efectos que dicho consumo tiene sobre los estudiantes, abarcando impactos negativos que afectan su salud física, bienestar emocional, interacciones sociales y estabilidad económica, el estudio adoptó un diseño de investigación mixto aplicando encuestas y entrevistas a los estudiantes de la ULEAM y docentes, los resultados subrayan la urgencia de implementar intervenciones y políticas efectivas dirigidas a mitigar riesgos asociados con el consumo de drogas recreativas entre estudiantes universitarios.