bluuebunny/crossref_metadata_2025_split huggingface dataset:
Brazilians’attitude towards personal debt: an approach to developing and validating a measurement scale
Authors: Silva Emmanuel Marques , Moreira Rafael de Lacerda , Bortolon Patricia Maria 
Published: February 2025

Abstract

This study uses Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) to construct a reliable and valid instrument to measure individuals' attitudes toward debt. This process resulted in the development of the Debt Attitude Scale – DASBR, aimed at analyzing the propensity for debt in the context of emerging economies, such as Brazil. The methodology followed a rigorous process to substantiate the construct, develop the measurement items, and validate the scale. The EFA results allowed the items to be identified and allocated into four dimensions, which were then called Savings Behavior, [Lack of] Self-Control, Influence of Societal Morality, and Time Preference. The CFA results showed that statistical indices, such as chi-square, chi-square/degrees of freedom ratio, CFI, TLI, SRMR, and RMSEA, reached values ​​considered acceptable in the literature. The Composite Reliability (CR) and Average Variance Extracted (AVE) coefficients used to assess convergent validity indicate that the DASBR can be considered acceptable for measuring the propensity to personal debt, since it presented adequate model adjustment indices, where most of the dimensions analyzed met the convergent validity and reliability criteria.
Dynamic behaviors and double-frequency synchronization analysis of a dynamic vibration absorption system driven by three co-rotating exciters
Authors: Fang Pan , Zhu Weiming , Hou Yongjun , Xiao Dong 
Published: February 2025

The recovery efficiency of drilling fluid is directly affected by working performance of the vibration screen. Therefore, a newly dynamic vibration absorption system driven by different excitation frequencies is designed through double-frequency synchronization theory to improve the mechanical performance of screening equipment. Firstly, the differential equations of motion of vibration system are deduced by Lagrange method. Then, the theoretical conditions of the system implementing double-frequency synchronization are obtained based on asymptotic method, and stability criterion of the synchronization is revealed according to Routh-Hurwitz criterion. Subsequently, the effects of structure parameters on vibration isolation ability, synchronous state, and stability of synchronization are numerically discussed. Finally, the feasibility of the theoretical method and the obtained results is further verified by simulation and experiment. It is found that the vibration isolation and synchronization performance of the system is influenced by the motor parameters and system structure. The system has the best vibration isolation ability when ωm0= 157 rad/s, which is considered as the best operating frequency of the present vibration system. Meanwhile, when the mass ratio κ between the high-frequency co-rotating rotor and the low-frequency co-rotating rotor is smaller, the absolute value of the stability coefficient Si is larger, and the stability phase difference is smaller, and the system is more stable. The present work can provide theoretical direction for the design of new screening equipment.
GKASA–DDPM: a novel flood forecasting model based on Graph Kolmogorov–Arnold Attention and spatio-temporal attention under smoothing DDPM
Authors: Chen Chang , Zhang Dawei , Qi Xin , Wang Zhongxiang , Xiang Liyun 
Published: February 2025

ABSTRACT

Flood forecasting plays an important role in water resources management and flood prevention, leading to enormous research interests. Given the considerable data amount and computational complexity, many scholars have considered this problem from the perspective of time-series forecasting and made substantial contributions in a data-driven manner. Based on this, a novel method is proposed to handle flood forecasting in this study, which is a modified denoising diffusion probabilistic model (DDPM). In addition, a novel attention mechanism, Graph Kolmogorov–Arnold Attention (GKAT) is designed. Since the Kolmogorov–Arnold Network (KAN) utilizes tunable activation functions, it increases the interpretability of complex hydrological models. Meanwhile, spatio-temporal attention (SA) is also adopted, considering the time-variant characteristic of the time-series data. Therefore, this method is termed GKASA–DDPM. Furthermore, Savitzky-Golay smoothing mechanism is deployed in the post-processing procedure to adjust the predicted results according to practical observation. Multiple experiments are executed to exhibit the superior performance of the proposed method, involving seven models and observed hydrological data collected from Xiaoqing River basin above Huangtaiqiao Hydrological Station. Comprehensive results show that GKASA–DDPM achieves the highest prediction accuracy under all experimental conditions, over 0.9 when evaluated by Nash–Sutcliffe Efficiency (NSE).
The benefit of performance indicators in efficiency assessment using data envelopment analysis
Authors: Gidion Dickson K. 
Published: February 2025

ABSTRACT
Performance indicators (PIs) are important parameters in the management of water services. Regulators have developed empirical analysis utilising PIs to rank an urban water utility (UWU) in a competitive scenario. Empirical analyses employ assumptions that, on the other hand, contribute to the chances of favouritism. Data envelopment analysis (DEA) is a non-parametric approach used in assessing the efficiency of a decision-making unit. However, the DEA benchmarking technique makes many UWUs efficient, limiting regulators to discern who is the best performer because even a weakly performing UWU identified in empirical analysis can be efficient. This study presents a consistency analysis of the conventional DEA and DEA for ratios through the DEA approach in a network form that benchmarks a UWU in a competitive scenario using absolute and ratio information. The assessment indicates that DEA for ratios contributes to the management of UWUs. When DEA for ratios is applied in UWU efficiency assessment, the results of efficient and inefficient UWUs can be used to compare their indicators achievements and develop relevant policies to improve operations. Thus, a weak-performing UWU can adopt management incentives used by the efficient UWU and enhance performance in the next assessment period.
Finding Consensus on Trust in AI in Health Care: Recommendations From a Panel of International Experts
Authors: Starke Georg , Gille Felix , Termine Alberto , Aquino Yves Saint James , Chavarriaga Ricardo , Ferrario Andrea , Hastings Janna , Jongsma Karin , Kellmeyer Philipp , Kulynych Bogdan , Postan Emily , Racine Elise , Sahin Derya , Tomaszewska Paulina , Vold Karina , Webb Jamie , Facchini Alessandro , Ienca Marcello 
Published: February 2025

Background
The integration of artificial intelligence (AI) into health care has become a crucial element in the digital transformation of health systems worldwide. Despite the potential benefits across diverse medical domains, a significant barrier to the successful adoption of AI systems in health care applications remains the prevailing low user trust in these technologies. Crucially, this challenge is exacerbated by the lack of consensus among experts from different disciplines on the definition of trust in AI within the health care sector.

Objective
We aimed to provide the first consensus-based analysis of trust in AI in health care based on an interdisciplinary panel of experts from different domains. Our findings can be used to address the problem of defining trust in AI in health care applications, fostering the discussion of concrete real-world health care scenarios in which humans interact with AI systems explicitly.

Methods
We used a combination of framework analysis and a 3-step consensus process involving 18 international experts from the fields of computer science, medicine, philosophy of technology, ethics, and social sciences. Our process consisted of a synchronous phase during an expert workshop where we discussed the notion of trust in AI in health care applications, defined an initial framework of important elements of trust to guide our analysis, and agreed on 5 case studies. This was followed by a 2-step iterative, asynchronous process in which the authors further developed, discussed, and refined notions of trust with respect to these specific cases.

Results
Our consensus process identified key contextual factors of trust, namely, an AI system’s environment, the actors involved, and framing factors, and analyzed causes and effects of trust in AI in health care. Our findings revealed that certain factors were applicable across all discussed cases yet also pointed to the need for a fine-grained, multidisciplinary analysis bridging human-centered and technology-centered approaches. While regulatory boundaries and technological design features are critical to successful AI implementation in health care, ultimately, communication and positive lived experiences with AI systems will be at the forefront of user trust. Our expert consensus allowed us to formulate concrete recommendations for future research on trust in AI in health care applications.

Conclusions
This paper advocates for a more refined and nuanced conceptual understanding of trust in the context of AI in health care. By synthesizing insights into commonalities and differences among specific case studies, this paper establishes a foundational basis for future debates and discussions on trusting AI in health care.
Toward a New Conceptual Framework for Digital Mental Health Technologies: Scoping Review
Authors: Hopkin Gareth , Coole Holly , Edelmann Francesca , Ayiku Lynda , Branson Richard , Campbell Paul , Cooper Sophie , Salmon Mark 
Published: February 2025

Abstract

Background
Digital mental health technologies (DMHTs) are becoming more widely available and are seen as having the potential to improve the quality of mental health care. However, conversations around the potential impact of DMHTs can be impacted by a lack of focus on the types of technologies that are available. Several frameworks that could apply to DMHTs are available, but they have not been developed with comprehensive methods and have limitations.

Objective
To address limitations with current frameworks, we aimed to identify existing literature on the categorization of DMHTs, to explore challenges with categorizing DMHTs for specific purposes, and to develop a new conceptual framework.

Methods
We used an iterative approach to develop the framework. First, we completed a rapid review of the literature to identify studies that provided domains that could be used to categorize DMHTs. Second, findings from this review and associated issues were discussed by an expert working group, including professionals from a wide range of relevant settings. Third, we synthesized findings to develop a new conceptual framework.

Results
The rapid review identified 3603 unique results, and hand searching identified another 3 potentially relevant papers. Of these, 24 papers were eligible for inclusion, which provided 10 domains to categorize DMHTs. The expert working group proposed a broad framework and based on the findings of the review and group discussions, we developed a new conceptual framework with 8 domains that represent important characteristics of DMHTs. These 8 domains are population, setting, platform or system, purpose, type of approach, human interaction, human responsiveness, and functionality.

Conclusions
This conceptual framework provides a structure for various stakeholders to define the key characteristics of DMHTs. It has been developed with more comprehensive methods than previous attempts with similar aims. The framework can facilitate communication within the field and could undergo further iteration to ensure it is appropriate for specific purposes.
Lenders’ Demand for Consolidating Financial Statements from Parent Borrowers
Authors: Krupa Nicholas R. , Tucker Jennifer Wu , Zakota Mark , Zhou Ying 
Published: February 2025

ABSTRACT
For financial reporting, a parent corporation is required to provide consolidated financial statements, treating the parent and its majority-owned subsidiaries as one reporting entity. Loan contracts, however, are signed by legal entities. We investigate when lenders explicitly require a parent borrower to periodically provide consolidating financial statements—disaggregated information with the parent’s information in the first column and the consolidated information in the last column—during the term of a loan. We find that 28.1 percent of the loan contracts include this covenant. The covenant is more likely when borrower-lender information asymmetry is higher; the loan is secured by collaterals or subsidiary pledges or guaranteed by subsidiaries; the borrower has heterogeneous subsidiaries or is smaller; or the loan has a revolving line of credit, fewer lenders, or a longer duration. Our findings suggest that lenders use contracting features to address the loss of information in the consolidated financial reporting model.
Data Availability: All data are available from identified public sources.
JEL Classifications: M2; M4; G3.
The Impact of Listening to Music During MRI-Fusion Prostate Biopsy Procedures on Pain and Anxiety Levels: A Randomized Controlled Trial
Authors: Coşkun Çağrı , Cem Bulut Ender , Çetin Serhat , Aydın Uğur , Küpeli Bora 
Published: February 2025

Objective: Combined biopsy (CBx) is a combination of multiparametric magnetic resonance imaging (MpMRI)-targeted prostate biopsy (FBx) and systematic biopsy (SBx). CBx offers highly accurate diagnostic rates, but the increased number of cores taken and the longer procedure time may pose challenges in tolerability compared to traditional biopsies in terms of pain and anxiety. This situation leads to the need to evaluate pain and anxiety.
Methods: In a tertiary hospital in Turkey, 149 patients with suspicious lesions (PI-RADS ≥ 3 on MpMRI) who underwent transrectal CBx were included between May 2023 and August 2023. Following FBx, patients underwent a 12-core systematic biopsy. During CBx, 78 patients listened to classical music, while 71 patients used noise-canceling headphones without music. Ten minutes after the procedure, patients completed the Visual Analog Scale (VAS) and the State-Trait Anxiety Inventory (s-STAI, t-STAI) questionnaires to measure pain and anxiety. s-STAI determines how anxious a person feels at a specific moment. t-STAI indicates the general level of anxiety a person experiences independently of their current situation.
Results: Median VAS score was 3.6 (3.0 – 4.3) in the music group and 5.4 (4.4 – 6.9) in the control group (p < 0.001). The median s-STAI score was 38 (34 – 44) in the music group and 44 (39 – 48) in the control group (p < 0.001). For t-STAI scores, no significant difference between groups was observed.
Conclusion: Incorporating music during CBx, alongside traditional pain management, effectively reduces pain and anxiety levels. Its cost-effectiveness, accessibility, and non-invasive nature make routine use of music during CBx procedures advantageous for pain palliation.
Особенности использования технологий больших данных в практиках профориентации школьников на педагогическую деятельность
Authors: Малахов Владислав Валерьевич 
Published: February 2025

В работе представлены современные тренды в профориентации школьников на педагогическую профессию, связанные с технологиями больших данных, искусственным интеллектом и персонификацией карьерных траекторий. Показаны возможности базового источника анализа данных на примере социальной сети «ВКонтакте», который может быть использован для выявления идентификационных признаков педагогического сообщества и прогнозирования склонностей школьников к педагогической профессии. В статье представлены результаты эмпирического исследования, в ходе которого была сформирована организационно-педагогическая модель использования технологий больших данных в региональной системе профессиональной ориентации школьников на педагогическую деятельность, основанная на методах предиктивной аналитики. Модель позволяет идентифицировать ключевые факторы, влияющие на выбор педагогической профессии, и формировать персонализированные рекомендации карьерного построения пути для школьников. Результаты исследования могут быть использованы для разработки новых инструментов и методик профориентации, направленных на повышение эффективности выбора будущей профессии и снижение риска профессиональной дезадаптации. Материалы статьи подготовлены на основе использования методов теоретического и структурного анализа, фокус-группы, экспертного метода и метода моделирования.
The paper presents current trends in the career guidance of schoolchildren for the teaching profession related to big data technologies, artificial intelligence and the personification of career trajectories. The possibilities of a basic data analysis source are shown using the example of the VKontakte social network, which can be used to identify the identification features of the pedagogical community and predict the propensities of schoolchildren to the teaching profession. The article presents the results of an empirical study, during which an organizational and pedagogical model of the use of big data technologies in the regional system of professional orientation of schoolchildren to teaching activities based on the methods of predictive analytics was formed. The model allows us to identify the key factors influencing the choice of a teaching profession and form personalized recommendations for career path building for schoolchildren. The results of the study can be used to develop new tools and methods of career guidance aimed at improving the effectiveness of choosing a future profession and reducing the risk of professional maladjustment. The materials of the article are prepared based on the use of methods of theoretical and structural analysis, focus groups, expert method, search modeling method, theoretical research (idealization, modeling, schematization,), methods of theoretical and structural analysis, structural semiotic analysis, predictive analytics and simulation based on neural network data and parsing.
Моделирование при формировании профессионально значимых личностных качеств студентов среднего профессионального образования
Authors: Бабакина Елена Павловна , Попова Ольга Викторовна 
Published: February 2025

Актуальным вопросом становления будущего специалиста как профессионала, востребованного в рамках новых социально-экономических реалий, является тематика профессионально значимых личностных качеств студентов среднего профессионального образования (СПО), рост подтверждается статистическими данными. В предложенной модели формирования профессионально значимых личностных качеств студентов СПО представлено содержание целевого, методологического, содержательно-технологического, контрольно-оценочного и результативного компонентов. Они служат основаниями для проведения формирующего эксперимента с учетом ранее полученных данных. В статье присутствует схема интерактивной формы обучения, включающая в себя внешнюю среду, контент, преподавателя, обучающегося, группу или класс.
The topical issue of formation of a future specialist as a professional in demand within the framework of new socio-economic realities is the subject of professionally significant personal qualities. At present, the relevance of pedagogical research in the field of secondary vocational education, which is strengthened through the social order of the state for middle-level specialists and working professions, is increasing. Also the demand for such research is confirmed by statistical data indicating an increase in the number of students of secondary vocational education. In the article we present the research of the conceptual and terminological field on the problems of formation of professionally significant personal qualities. The pedagogical research conducted by us at the establishing stage confirmed that an important aspect of increasing the competitiveness of future specialists is a high degree of formation of professionally significant personal qualities. One of the most universal methods of researching various phenomena in pedagogy is modeling. Modeling allowed to create a model of formation of professionally significant personal qualities in students of secondary vocational education, representing the professional activity of future specialists as aimed at a creative view of the processes related to the maintenance of various engineering objects, as well as the applicationин of knowledge and competencies, personal qualities within the technical and economic sphere. The article presents a scheme of interactive form of learning, including: external environment, content, teacher, learner, group or class.
Desain Media Pembelajaran melalui E-cerita Bergambar pada Pembelajaran Qira’ah
Authors: Mahira Putri Nanda , Hayati Salma 
Published: February 2025

Penelitian ini bertujuan untuk menghasilkan design e-cerita bergambar sebagai bahan ajar inovatif guna untuk mendukung pembelajaran bahasa Arab untuk tingkat MTs. Penelitian ini menggunakan metode Design Based Research (DBR) dengan 4 langkah (analisis masalah dan kebutuhan, desain, evaluasi, dan distribusi). Kuesioner dan wawancara digunakan sebagai instrumen untuk mengumpulkan data. Analisis data menggunakan analisis kualitatif dan kuantitatif. Hasil analisis masalah dalam pembelajaran adalah rendahnya minat baca di Indonesia yang disebabkan oleh beberapa faktor. Untuk meningkatkan minat baca, beberapa strategi yang dapat diterapkan seperti menciptakan media pembelajaran yang menarik, dan memberikan penghargaan kepada siswa yang aktif dalam mengikuti kegiatan membaca. Hasil desain e-cerita bergambar telah menghasilkan produk bahan ajar yang memuat materi pembelajaran bahasa Arab dengan tema “Ashabul Fil” yang interaktif, kontekstual, dan menarik. Validasi produk desain dilakukan oleh 4 ahli. Hasil penilaian para pakar terhadap desain e-cerita bergambar bahasa Arab dari aspek isi dan bahasa memperoleh nilai 97%, dan dari aspek desain memperoleh nilai 96%, sehingga e-cerita bergambar yang didesain dinyatakan layak digunakan dengan mengikuti saran perbaikan dari pakar. Hasil penilaian guru terhadap desain e-cerita bergambar memperoleh nilai 94%. Hasil desain e-cerita bergambar tersebut menggunakan hyperlink dan dipulikasikan dengan cara dibagikan kepada guru bahasa Arab. Dengan demikian, desain e-cerita bergambar yang telah dirancang dapat digunakan sebagai bahan ajar dalam pembelajaran bahasa Arab di jenjang Madrasah Tsanawiyah (MTs).
Bungong Rencong: Representation of the Fighting Spirit of Inong Balee in Aceh into Dance Creation
Authors: Cufara Dwindy Putri , Gusmanto Rico 
Published: February 2025

Inong Balee was Aceh's war fleet led by Indonesia's first female admiral, Keumalahayati. Inong Balee consisted of widows who lost theirhusbands in the war and girls who fought against the invaders. The progress of this fleet is represented as a Lioness standing proudly on the ship of the Sultanate of Aceh. This work emerged from the fighting spirit of heroic women. This Inong Balee spirit influenced the emancipation of Acehnese women. This is what makes Aceh women different from women in other regions, where Aceh women are known to have a tough nature.This spirit is interestingly implemented in the form of abstract dance artworks. The purpose of this research is to create an abstract dance artwork that represents the Lioness in the fighting spirit of Inong Balee in Aceh as a pioneer of emancipation. The method used is the creation method byAlma Hawkins which consists of exploration, improvisation, and formation. This research is expected to answer global challenges related to women's issues, especially women in social status. With the achievement of the objectives of this research, the research output can be targeted, namely a dance artwork entitled Bungong Rencong, a scientific article in an accredited national journal, and a copyright certificate for the artwork.