bluuebunny/crossref_metadata_2025_split huggingface dataset:
IDENTIDADE CAPIXABA EM MÚSICAS DE ARTISTAS LOCAIS
Authors: Langa Lacerda Marcela , Nascimento Stefani 
Published: December 2024

Considerando a epistemologia dos estudos de terceira onda variacionista, o objetivo desta investigação é fazer um levantamento semântico-lexical e gramatical, em músicas de artistas capixabas, de marcas típicas de uma certa identidade linguístico-cultural local, conforme (certo) imaginário social e conforme resultados de pesquisas variacionistas labovianas, sobre 11 fenômenos. Objetiva-se ainda analisar se uma (ou mais de uma) certa identidade capixaba é construída nos discursos evocados pelas músicas e como isso ocorre. Metodologicamente, a investigação é qualitativa, de cunho interpretativista, bibliográfica e documental, com análise de 10 artistas capixabas e 12 músicas, considerando os mais tocados em 2022, na plataforma Spotify. Após análise, identificamos que: (a) a maioria dos fenômenos (oito) segue as mesmas tendências de uso já identificadas em pesquisas variacionistas prévias, em terras capixabas, embora essas tendências não sejam exclusivas dessa cultura, mas tendências nacionais de uso, o que inviabiliza a projeção de uma identidade linguístico-cultural destacadamente capixaba; (b) alguns fenômenos (três), contudo, não seguem as tendências captadas, incluindo aí o fenômeno que, mais significativamente, tem sido apontado como marca capixaba – ausência ou presença de artigo diante de antropônimos e possessivos. Em geral, não se verificou, no corpus, portanto, a disposição para projeção/construção de identidade(s) marcadamente capixaba(s).
A LINGUÍSTICA E OS DESAFIOS DA PESQUISA ACADÊMICA
Authors: Pinheiro dos Santos Antonio Genário 
Published: December 2024

Não é recente a discussão sobre os desafios que enfrenta a pesquisa acadêmica no Brasil. De maior idade ainda é o leque de discursos que tentam validar práticas de engajamento, de resiliência de enfrentamento a tal realidade, discursos que partem, em especial, daqueles que vivem na seara da academia, envoltos na lida de produzir, avaliar e até de difundir conhecimento via instrumentos institucionais oficiais. Não obstante esse cenário crítico, fica evidente que a pesquisa sobrevive e, no escopo da pesquisa linguística, nada é diferente.
A Web-Based Resource Informed by Cognitive Behavioral Therapy and Positive Psychology to Address Stress, Negative Affect, and Problematic Alcohol Use: A Usability and Descriptive Study
Authors: Serck-Hanssen Ingrid , Solheim-Witt Marit , Anker Justin J , Sugarman Dawn E 
Published: December 2024

Abstract

Background
Research documents that drinking to cope behavior can be disrupted by enhancing emotion regulation and coping skills related to the experience of stress and negative affect. The Alpha Element Self-Coaching Plan incorporates principles of positive psychology and cognitive behavioral therapy to redirect negative thinking and emotions and, therefore, has the potential to benefit individuals who use alcohol to cope with stress.

Objective
This study aimed to evaluate satisfaction and usability of the web-based Alpha Element Self-Coaching Plan in order to inform the development of an expanded digital platform based on the Alpha Element framework.

Methods
Participants enrolled in the web-based program as part of their clinical care were eligible to participate. A total of 20 individuals (14 women and 6 men) between ages 30 and 79 (mean 54.5, SD 14.14) years completed web-based questionnaires to assess product performance in areas such as ease of technology use, quality of videos and handouts, and the value of the activities. Participants also completed the System Usability Scale (SUS) and provided background and demographic information, including alcohol use.

Results
Only 1 participant reported no alcohol use in the past year; 55% (11/20) of participants drank alcohol 2‐4 times per month or less and 45% (9/20) reported drinking alcohol 2‐3 times per week or more. The average SUS score of 76.38 (SD 17.85) was well above the commonly accepted threshold of 68, indicating high system usability. A majority of the sample (16/19, 84%) agreed or strongly agreed that the activities in the program inspired behavioral changes; and most agreed or strongly agreed that the program was engaging (16/20, 80%), well-organized (18/20, 90%), and easy to follow (17/20, 85%). Only 2 participants endorsed experiencing difficulty using the program on a smartphone. Suggestions for program improvements included expanding the platform, updating the web format, adding user interactivity, and enhancing navigation.

Conclusions
These data suggest that participants were generally satisfied with the web-based Alpha Element Self-Coaching Plan, and rated usability of the program as favorable. Importantly, a significant portion of participants reported that the program inspired behavioral changes. More research is needed with a larger sample to obtain specific data about alcohol consumption and investigate associations between alcohol use and program components, as well as examine gender differences. Data collected from this study will be used to expand the platform and improve user experience.
The Role of Financial Slack as a Mediating Variable between Corporate Governance’s Effect on Company Performance
Authors: Perdanaputra Mahardika , Hersugondo Hersugondo 
Published: December 2024

Amid the backdrop of the global pandemic, the economic sector has witnessed a profound transformation, with one of its notable consequences being the disruption of businesses, particularly in their struggle to access external resources. In this dynamically altered landscape, the imperative role of corporate governance practices within company management becomes pronounced. These practices are pivotal in orchestrating the efficient allocation and utilization of internal resources, evolving from a mere survival strategy to a competitive advantage, thereby bolstering overall company performance and ensuring sustained viability in the fiercely competitive modern business arena. The type of research used is descriptive research, and the research design employed is longitudinal design. The data that used for this research is 588 data from 98 listed manufacturing companies on the IDX from 2015 – 2020. All data is obtained from company financial reports and also from Bloomberg. Using multiple linear regression analysis and path analysis with SPSS version 25, the results showed that the company's internal resources (slack) could not mediate the relationship between corporate governance and company performance. This shows that company management has not been able to maximize the use of the company's internal resources (slack) in order to improve company performance. The results of this study can be used as input for company management to be able to maximize or use the company's internal resources (slack) properly in order to help the company improve its performance, because all decisions regarding the use of company resources are in the hands of company management.
Low-Cost Embedded System Design for Smart Home Automation Using RF Technology
Authors: Yavuz Erdem 
Published: December 2024

Abstract
Applications for smart home technologies can be described as the adaptation of control systems used in industrial areas to modern living environment of people. Home automation systems are the systematic and seamless adaptation of smart home technologies to the individual’s personal needs and desires. Smart homes encompass a range of technologies designed to cater to the needs of residents, simplifying their daily routines and contributing to a more comfortable and secure way of life. Nowadays, most buildings are constructed with expensive, builtin smart home technology. However, when it comes to old buildings without smart home technology, integrating this technology into those structures can be challenging due to the requirement for intrusive overhead wall modifications necessary for installing the technological infrastructure. In this study, a radio frequency based low-cost embedded system is designed to bring intelligent technology to existing homes or old buildings. Various sub-units have been designed and established to be situated in different places of the house. Physical events and situations that occur in the house are sensed by the sub-units and transmitted to the main control unit by means of a specially developed communication protocol via radio frequency signals. This removes the cable clutter and creates a more flexible and easy installation environment.
Comparison of Pearson’s and Spearman’s correlation coefficients for selected traits of Pinus sylvestris L.
Authors: Bocianowski Jan , Wrońska-Pilarek Dorota , Krysztofiak-Kaniewska Anna , Matusiak Karolina , Wiatrowska Blanka 
Published: December 2024

Abstract
The Spearman rank correlation coefficient is a non-parametric (distribution-free) rank statistic proposed by Charles Spearman as a measure of the strength of the relationship between two variables. It is a measure of a monotonic relationship that is used when the distribution of the data makes Pearson’s correlation coefficient undesirable or misleading. The Spearman coefficient is not a measure of the linear relationship between two variables. It assesses how well an arbitrary monotonic function can describe the relationship between two variables, without making any assumptions about the frequency distribution of the variables. Unlike Pearson’s product-moment (linear) correlation coefficient, it does not require the assumption that the relationship between variables is linear, nor does it require that the variables be measured on interval scales; it can be applied to variables measured at the ordinal level. The purpose of this study is to compare the values of Pearson’s product-moment correlation coefficient and Spearman’s rank correlation coefficient and their statistical significance for six morpho-anatomical traits of Pinus sylvestris L. (original – for Pearson’s coefficient, and ranked – for Spearman’s coefficient) estimated from all observations, object means (for trees), and medians. The results show that the linear and rank correlation coefficients are consistent (as to direction and strength). In cases of divergence in the direction of correlation, the correlation coefficients were not statistically significant, which does not imply consistency in decision-making. Estimation of correlation coefficients based on medians is robust to outlier observations and factors that linear correlation is then very similar to rank correlation.
The Determinants of Customs Duties Evasion in Egypt
Authors: Barbary Mahmoud Magdy 
Published: December 2024

Abstract
Following the Arab Spring in 2011, Egypt implemented policies to restrict imports to control foreign currency spending, as foreign currency reserves dwindled. This decline was driven by reduced tourism revenues and remittances from Egyptians abroad. Among the measures Egypt adopted were floating the local currency, raising the customs exchange rate (used to calculate customs duties), and increasing tariff rates on numerous goods. These actions significantly raised the cost of imports, potentially incentivizing importers to evade customs duties.
This study aims to explore the determinants of customs duties evasion in Egypt using a time series econometric model. Key variables analyzed include tariff rates, customs clearance efficiency, corruption, trade openness, and non-tariff barriers (NTBs). The analysis covers the period from 2001 to 2023. Regression analysis and econometric tests were conducted to validate the results. Findings suggest that customs clearance processes, tariff policies, corruption, trade openness, and NTBs significantly influence customs duties evasion in Egypt
Digital Convergence and Divergence in EU and ASEAN Economies
Authors: Aumeboonsuke Vesarach 
Published: December 2024

Abstract
This study examines the evolving digital economy in terms of convergence and divergence in European Union (EU) and Association of Southeast Asian Nations (ASEAN) countries over the period from 2010 to 2024, including the effects of the COVID-19 pandemic. This research uses a range of digital economy indices, including the ICT Development Index, E-Government Development Index, Online Service Index, Telecommunication Infrastructure Index, and Human Capital Index. It aims to identify and compare the patterns of convergence or divergence in digital indicators within and between the EU and ASEAN regions. The study employs beta convergence analysis, sigma convergence analysis, and difference-in-difference analysis to compare digital performance and assess the impact of the pandemic on the digital economy. By contrasting the digital development paths of the EU and ASEAN, the study provides insights into the digital gap and offers policy recommendations to promote more equitable digital development in both regions. The findings indicate that while the EU demonstrates more consistent convergence across digital indices, ASEAN exhibits both convergence and divergence, particularly during the post-pandemic period. The results reveal the urgent need for policy interventions aimed at reducing regional digital gaps, especially by enhancing digital infrastructure and improving human capital. This research offers valuable insights for policymakers in both regions, providing actionable strategies to foster inclusive digital development, enhance resilience in the face of global crises, and bridge the digital divide in an increasingly interconnected world.
Inequality and Informal Economy: The Moderating Role of Financial Technology
Authors: Magwedere Margaret Rutendo , Marozva Godfrey 
Published: December 2024

Abstract
Increasing income distribution gaps have become a global socio-economic problem accentuating economic and social exclusion with a potential of generating declining social cohesion and political stability. This study examines the relationship between the informal economy and income inequality, alongside the moderating effect of financial technology (fintech). The persistent prevalence of informal economies in emerging markets and developing economies (EMDE) is often associated with elevated income inequalities. Utilizing data from 2012 to 2022 across 18 African countries, this study employs the two-step system Generalized Method of Moments (GMM) to address potential endogeneity biases and to robustly estimate the relationship between the size of the informal economy and income distribution. The results indicate that a larger informal economy correlates with reduced income inequalities, acting as a buffer for marginalized communities by providing economic opportunities. Conversely, fintech initially indicates an increase in income disparities due to skill and access discrepancies. However, when functioning as a moderating factor between informal economies and income inequality, fintech demonstrates a potential to reduce the inequality gap. This study suggests that policy interventions geared towards economic formalisation need to account for the dual role of financial technologies. Further research is required to explore other socio-economic factors, including political dynamics and labour market policies, which influence income inequalities. Prominent policy decision confronting African governments is the role of the informal economy. The findings of the study advocate for a nuanced approach to addressing structural reforms within informal sectors and carefully utilise fintech as a tool for promoting equitable income distribution
Innovation and Quality of Business Scale Based on Blue Economy in the Coastal Area of Bilato, Indonesia
Authors: Alamsyah Muhammad Fuad , Subhan Andi , Jafar Muhammad Iqbal , Arifuddin  , Fikri Muhammad Ali 
Published: December 2024

Abstract
This study thoroughly examines and analyzes the potential of small and medium-sized enterprises (SMEs) involved in Nike fish (Ikan Nike) in the Bilato coastal area of Indonesia. Several aspects are used as indicators to assess the extent of this potential, including innovation, scale quality, and the application of the blue economy concept. The methodology employed is qualitative, also known as interpretative research, naturalistic research, or phenomenological research. The results of this study indicate a significant and positive improvement among the SMEs involved in Nike fish, particularly in terms of innovation, which encompasses product innovation, sales media innovation, and environmental innovation. Additionally, there has been notable development in scale quality, as evidenced by increases in income, sales, and business profits. Furthermore, the SMEs participating in the Nike fish group consistently implement the blue economy concept as a means of ensuring sustainability and balance in preserving the environment in the Bilato coastal area. This approach not only enhances economic value but also contributes to social and ecological benefits.
Theatricalizing Ecological Disaster: The Ecodramaturgy of Ping Chong + Company’s Alaxsxa | Alaska (2017)
Authors: Benea Diana 
Published: December 2024

Abstract
This article aims to explore the transformative potential of community-specific Indigenous theatre in reshaping socio-political and ecological landscapes, with reference to Alaxsxa | Alaska (2017) by Ping Chong + Company, one of the most prominent companies of the New York City theatre scene of the past fifty years. In conversation with recent theoretical and practice-oriented accounts of ecodramaturgy, the following analysis proposes: (1) to document the agenda of community engagement undergirding the play’s development, production, and reception, drawing on ethnographic material; (2) to clarify its contributions to developing an Indigenized perspective on Alaska’s history, with a focus on the impact of ecological disasters on its human and more-than-human worlds; and (3) to outline the afterlives of the project, particularly in and for Alaska Native communities, while reflecting on the broader implications of this legacy for contemporary ecologies of performance.
Images of Disaster: Facing the Vietnam War with the Senses
Authors: Mitrea Alexandra 
Published: December 2024

Abstract
The article sets out to analyze the manner in which Yusef Komunjakaa addresses in his poetry one of the greatest military disasters in American foreign policy ‒ the war in Vietnam‒, which he himself experienced directly, as a war correspondent. I will investigate the poet’s reliance on strong, visceral images as Komunjakaa proceeded almost like a painter. I will also look into the role played by music, jazz in particular, in articulating a vision of the war which gives ample space to the reader to negotiate the images that engage all five senses. I will illustrate the fact that Komunjakaa’s war poetry is characterized by more than a mere documentary drive, as one can discover healing and renewal of the self behind the apocalyptic images that describe the war.
The Role of Popular Culture in Times of Disaster: A Case Study of the War Morale Songs in the Russo-Ukrainian War
Authors: Starshova Oksana , myronenko Polina 
Published: December 2024

Abstract
The whole-scale Russian invasion of Ukraine has produced a massive response in various media and art forms. Memes, cartoons, graphic novels, street art create an interesting war imagery and portray the effect of the war on society and the individual. Our project focuses on the popular songs created during this war, especially those included in music videos. The songs perform various functions; they express emotions ‒ of pain, sorrow, hope; they might be propagandistic calling for action; they might display deeply personal feelings about the lost world of peace; they may help one survive, and they also help one reflect on the impact of the war on the everyday life of the people and the country, in other words, on the current existential crisis. Songs refer to the moral issues and values in human life, and they articulate the pride in national heroes and national culture. In this article, we intend to collect, categorize, and interpret the songs with focus on the war morale songs that are employed in the mobilization efforts and the shaping of public opinion. Although they are of heterogeneous professional quality, our aim is to document the songs brought about by the war as the personal and political response to the events. Our primary interest lies in the hermeneutics of the messages inscribed in the music, lyrics and visuals.
A fast inverse synthetic aperture radar translational motion compensation method for low SNR scenes
Authors: Cheng Ping , Yang Xinkai , Chen Weiyang , Zhao Jiaqun , Qu Zhiyu 
Published: December 2024

Abstract
Accurate translational motion compensation is crucial for inverse synthetic aperture radar (ISAR) imaging. At low signal-to-noise ratio (SNR), the performance of nonparametric methods is declining because the correlation of adjacent range profiles is severely destroyed by the noise. Fortunately, parametric methods can still work well at low SNR. However, existing parametric methods are time-consuming, which decreases ISAR imaging efficiency significantly. So, a fast parametric translational motion compensation method is studied for low SNR scenes in the paper, which is based on modified Adam (Madam) algorithm. By changing the updating strategy for weights and learning rate in Adam, Madam algorithm can significantly accelerate the convergence when estimating the motion parameters. To further improve the efficiency, a new objective function by combining image contrast and image entropy is proposed. When applied into measured Yak-42 data at low SNR, the proposed method can image about 10 times faster than particle swarm optimization (PSO) method and 2 times faster than Adam method. Therefore, the proposed method is an efficient translational motion compensation method for low SNR ISAR imaging.
Biomechanical sensor signal analysis based on machine learning for human gait classification
Authors: Kuduz Hacer , Kaçar Fırat 
Published: December 2024

Abstract
The present study investigates the effect of wearable sensor placements and the use of various machine learning (ML) algorithms for human gait pattern recognition based on temporal gait speeds using wearable multichannel sensor data. Therefore, classifying human gait from features extracted from biomechanical sensor signals and evaluating the effect of using these sensors on gait biomechanics can be successfully achieved with a machine learning approach. In this study, firstly, IMU (Inertial Measurement Unit) and GON (Goniometer) sensor features were extracted for machine learning input using the sliding windows method, and these features were applied to ML classifiers to classify human gait speed. Our experimental findings show that multi- and fusion sensor models provide superior classification performance compared to single sensor models, and the highest accuracy is achieved with the ‘FUS09’ fusion sensor model and SVM-based classifier. The classification accuracies of the FUS10 fusion sensor model, where all sensor parameters were combined, the FUS09 model, where the GON_ANK and IMU_Ft parameters in this model were excluded, are 0.895 and 0.901, respectively. Consequently, wearable biomechanical sensor data and machine learning approach can be easily preferred in multiple human activity recognition.