bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research evaluation reform and the heterogeneity of researchers’ metric-wiseness
Authors: Rousseau Sandra , Daraio Cinzia 
Published: January 2025

ABSTRACT

Purpose
We aimed to measure the variation in researchers’ knowledge and attitudes towards bibliometric indicators. The focus is on mapping the heterogeneity of this metric-wiseness within and between disciplines.

Design/methodology/approach
An exploratory survey is administered to researchers at the Sapienza University of Rome, one of Europe’s oldest and largest generalist universities. To measure metric-wiseness, we use attitude statements that are evaluated by a 5-point Likert scale. Moreover, we analyze documents of recent initiatives on assessment reform to shed light on how researchers’ heterogeneous attitudes regarding and knowledge of bibliometric indicators are taken into account.

Findings
We found great heterogeneity in researchers’ metric-wiseness across scientific disciplines. In addition, within each discipline, we observed both supporters and critics of bibliometric indicators. From the document analysis, we found no reference to individual heterogeneity concerning researchers’ metric wiseness.

Research limitations
We used a self-selected sample of researchers from one Italian university as an exploratory case. Further research is needed to check the generalizability of our findings.

Practical implications
To gain sufficient support for research evaluation practices, it is key to consider researchers’ diverse attitudes towards indicators.

Originality/value
We contribute to the current debate on reforming research assessment by providing a novel empirical measurement of researchers’ knowledge and attitudes towards bibliometric indicators and discussing the importance of the obtained results for improving current research evaluation systems.
INFLUENCE OF INTERACTION WITH TIME-CONTROLLED SYSTEMS ON A INDIVIDUAL´S EMOTIONAL VALENCE
Authors: Tejeda Jorge Gil , Pineda Lorena Olmos 
Published: January 2025

Objective: The objective of this study is to identify the components that generate a change in the emotional valence of individuals, which in turn affects recursive processes.

Theoretical Framework: We focus on work systems in which individuals have partial control and must execute basic tasks to achieve objectives similar to those of automated teller machines (ATMs). These systems consist of physical components, virtual components, and factors such as time, uncertainty in the execution of basic tasks, action regulation, control processes, recursive cognitive processes, and the incidence of errors, all of which impact the emotional valence of the individual.

Method: Participants performed a basic task using a time-controlled work system. Additionally, data were collected through self-reporting, where participants provided statistical information as well as a description of their emotional valence.

Results and Discussion: The results obtained revealed that action regulation processes, particularly conscious reflection on control processes, were the primary factor that modified emotional valence. Moreover, emotional valence affected the recursive processes related to the control of the basic task.

Research Implications: Error management through the study of components that may amplify it can aid in the improvement of the design of interfaces and work systems that are significant in the everyday life of users, such as ATMs.

Originality/Value: This study contributes to understanding the correlation between emotional valence and recursive cognitive processes.
STUDY OF THE EFFECTIVENESS OF THE QUALITY OF ACCOUNTING INFORMATION ON ACCOUNTING DISCLOSURE: AN ANALYTICAL STUDY OF A SAMPLE OF PRIVATE COMMERCIAL ENTERPRISES IN ALGERIA FOR THE YEAR 2023
Authors: Youcef Bouakaz , Mohamed Zergoune , Abdellah Mayou , Mourad Hadjadj 
Published: January 2025

Objective: The objective of this study is to assess the impact of information accuracy, transparency, and timely reporting on the level of accounting disclosure in companies.

Theoretical Framework: This study is based on concepts and theoretical frameworks related to the quality of accounting information and its effect on disclosure levels. It focuses on the relationship between information accuracy, transparency, and reporting speed as key determinants of increased accounting disclosure.

Method: The research adopts an analytical approach, focusing on examining the relationship between the quality of accounting information and disclosure levels. Data was collected by analyzing financial reports of companies, using statistical tools to measure the relationship between the variables.

Results and Discussion: The findings revealed a strong positive relationship between the quality of accounting information and the level of disclosure. This indicates that companies providing accurate, transparent, and timely reports achieve higher levels of accounting disclosure. In the discussion section, these results are interpreted in light of the theoretical frameworks related to information quality and its impact on accounting transparency, the challenges companies face in implementing these practices are also discussed..

Research Implications: The practical implications of this research lie in the importance of enhancing accounting training, updating internal accounting systems, and adopting modern technologies to improve the speed and quality of accounting reports, these recommendations could significantly influence improving disclosure levels in companies.

Originality/Value: This study contributes to the literature by highlighting the relationship between the quality of accounting information and the level of disclosure, recommending improvements in accounting practices using modern techniques to enhance reporting speed and accuracy.
THE JOINT INFLUENCE OF LEADERSHIP PRACTICES, STAKEHOLDER PARTICIPATION AND CLARITY OF FINDINGS ON UTILIZATION OF MONITORING AND EVALUATION RESULTS IN NGOs IN NAIROBI CITY, KENYA
Authors: Ombisa Robert Bruno Okwaro , Bowa Omondi , Aseey Anne 
Published: January 2025

Objective: The objective of this study was to investigate the joint influence of leadership practices, stakeholder participation and clarity of findings on utilization of M&E results in NGOs in Nairobi City, Kenya.

Theoretical Framework: Utilization-Focused Evaluation (UFE) theoretical dimension stood out, providing a solid basis for understanding the context of the investigation.

Method: Multi-stage sampling was employed whereby stratified random sampling was applied to obtain a sample of 283 NGOs from a target population of 980. Structured questionnaires were used to collect data whereas interview guides were also used to collect Key Informant information for triangulation of results.

Results and Discussion: The results obtained revealed leadership practices and stakeholder participation jointly influenced utilization of M&E results positively and significantly. Clarity of findings was excepted. The study recommended that NGO management boards adopt combined strategies to enhance utilization of M&E results.

Research Implications: The practical and theoretical implications of this research were discussed, providing insights into how the results could be applied or influenced practices in the field of Monitoring and Evaluation. These implications could encompass NGOs, donor funding agencies, M&E staff, implementers, scholars, and researchers in terms of policy formulation, referencing, guide to funding, dialogue, and debate. Changes to practice include NGO management boards prompting leaders to adopt combined strategies to enhance utilization of M&E results

Originality/Value: This study contributed to existing literature by empirically establishing that jointly, leadership practices and stakeholder participation influenced utilization of M&E results. Further, it validated the theory underpinning the study.
Using Motion-Graphic Media to Educate Higher Education Students About Depression: A Randomized Controlled Trial
Authors: Chookerd Naparat , Mettarikanon Dichitchai , Tawanwongsri Weeratian , Puangsri Pavarud , Kaeophanuek Siriwatchana , Boonpit Veerayut , Wanchai Adisak 
Published: January 2025

Objective: This study aims to compare the effectiveness of motion graphics versus pamphlets for educating young adults about depression. Methods: A multicenter randomized controlled trial was conducted from April to June 2024; participants were randomly assigned to Group A (motion-graphic media) or Group B (pamphlets) in a 1:1 ratio. Pre- and post-intervention knowledge scores were collected, and satisfaction scores were collected after intervention from group A. Findings: A total of 78 participants with a median age of 19.0 years (IQR 2.0) and predominantly women (64.1%), completed pre- and post-intervention questionnaires. The median knowledge score for Group A increased from 15.0 (IQR 4.0) pre-intervention to 18.0 (IQR 3.0) post-intervention, while Group B's scores improved from 12.0 (IQR 4.0) to 16.0 (IQR 3.0). Post-intervention scores were significantly higher in Group A compared to Group B (p = 0.002). Participants in Group A also reported high satisfaction with the educational material. Novelty:This study highlights the potential of innovative media for patient education, particularly in addressing mental health issues. Long-term cohort studies are required to assess whether this approach can improve clinical outcomes and reduce the incidence of severe depression. Doi: 10.28991/ESJ-2024-SIED1-015 Full Text: PDF
PELAFALAN BUNYI DALAM METODE HAPALAN AL QUR’AN SANTRI PONDOK PESANTREN BAITUL QURRO WAL HUFFAZH KERONGKONG
Authors: Hikmah Hikmah , Rismarini Nursaly Baiq , Mohzana Mohzana 
Published: January 2025

This study aims to determine the implementation and implications of sound pronunciation in memorizing the Qur'an methode of students at the Baitul Qurro' wal Huffazh Kerongkong Islamic boarding school. This type of research is descriptive qualitative. Primary data sources is the results of interview with the head of the Baitul Qurro' wal Huffazh Kerongkong Islamic boarding school, the head of the Tahfizh Institute, the coach, and the students. While secondary data are used consists of a number of books, research results, journals, and other documents. The results showed that the method used in the pronunciation of sounds in memorizing the Qur'an at Baitul Qurro' wal Huffazh Kerongkong Islamic Boarding School is the jibril method. The implementation of the program applied in learning is by (1) depositing every halaqah, (2) tahsin in general (3) and reading tajweed poems (4) students read together led by one student (5) students who are good at reading are directed to guide their other friends. The implication of sound pronunciation in memorizing the Qur'an is that students can memorize faster and more fluently. The data processing and analysis technique in this thesis consists of data reduction, and data presentation. To test the validity of the data, triangulation was used.
Ina, Bakit Naaga?: A Lived Experiences of Postpartum Mothers with Preterm Infant
Authors: Pascual Fiona Alexandra P. , Navarro Andrea Jasmin B. , Mendoza Justine J. , Chioco Eriza Mhae P. , Madayag Gimena Anne Paula G. , Mangulabnan Jemmie A. , Alday Cecille L. 
Published: January 2025

This qualitative study delves into the lived experiences of mothers with preterm infants, aiming to shed light on their challenges, coping strategies, and insights for future mothers. The significance of this research lies in its potential to offer valuable support and guidance to mothers navigating the complexities of caring for preterm infants. This study utilized a phenomenological research design, engaging a specific group of participants, consisting of 15 mothers with preterm infants, within the scope of Nueva Ecija, Philippines. The inclusion was based on the following criteria: Mothers who have given birth to a preterm infant (born before 37 weeks of gestation), who have delivered preterm infants within the past 6 months, and who are residing in Nueva Ecija. The exclusion requirements were also: Pregnancies that ended in stillbirth and postpartum mothers with preterm infants who are still admitted to the Neonatal Intensive Care Unit (NICU). Additionally, snowball sampling was used with selected participants, it also employed a semi-structured interview guide, responding to predetermined open-ended questions. From the shared narratives, a multitude of challenges faced by mothers of preterm infants have been uncovered, these vividly depict the emotional challenges experienced by mothers. Furthermore, they highlight the significance of staying strong, embracing challenges, nurturing sincere relationships, and trusting one's faith. Postpartum mothers face a spectrum of emotions, including joy, sadness, anxiety, depression, fear, and self-doubt, compounded by the unpredictability of their infants' health and development. Coping strategies include reliance on support systems, belief, self-love, engagement in diverse activities, and virtual communities.
Prognostic value of manual versus automatic methods for assessing extents of resection and residual tumor volume in glioblastoma
Authors: Majewska Paulina , Holden Helland Ragnhild , Ferles Alexandros , Pedersen André , Kommers Ivar , Ardon Hilko , Barkhof Frederik , Bello Lorenzo , Berger Mitchel S. , Dunås Tora , Conti Nibali Marco , Furtner Julia , Hervey-Jumper Shawn L. , Idema Albert J. S. , Kiesel Barbara , Nandoe Tewarie Rishi , Mandonnet Emmanuel , Müller Domenique M. J. , Robe Pierre A. , Rossi Marco , Sciortino Tommaso , Aalders Tom , Wagemakers Michiel , Widhalm Georg , Zwinderman Aeilko H. , De Witt Hamer Philip C. , Eijgelaar Roelant S. , Sagberg Lisa Millgård , Jakola Asgeir Store , Thurin Erik , Reinertsen Ingerid , Bouget David , Solheim Ole 
Published: January 2025

OBJECTIVE
The extent of resection (EOR) and postoperative residual tumor (RT) volume are prognostic factors in glioblastoma. Calculations of EOR and RT rely on accurate tumor segmentations. Raidionics is an open-access software that enables automatic segmentation of preoperative and early postoperative glioblastoma using pretrained deep learning models. The aim of this study was to compare the prognostic value of manually versus automatically assessed volumetric measurements in glioblastoma patients.

METHODS
Adult patients who underwent resection of histopathologically confirmed glioblastoma were included from 12 different hospitals in Europe and North America. Patient characteristics and survival data were collected as part of local tumor registries or were retrieved from patient medical records. The prognostic value of manually and automatically assessed EOR and RT volume was compared using Cox regression models.

RESULTS
Both manually and automatically assessed RT volumes were a negative prognostic factor for overall survival (manual vs automatic: HR 1.051, 95% CI 1.034–1.067 [p < 0.001] vs HR 1.019, 95% CI 1.007–1.030 [p = 0.001]). Both manual and automatic EOR models showed that patients with gross-total resection have significantly longer overall survival compared with those with subtotal resection (manual vs automatic: HR 1.580, 95% CI 1.291–1.932 [p < 0.001] vs HR 1.395, 95% CI 1.160–1.679 [p < 0.001]), but no significant prognostic difference of gross-total compared with near-total (90%–99%) resection was found. According to the Akaike information criterion and the Bayesian information criterion, all multivariable Cox regression models showed similar goodness-of-fit.

CONCLUSIONS
Automatically and manually measured EOR and RT volumes have comparable prognostic properties. Automatic segmentation with Raidionics can be used in future studies in patients with glioblastoma.
Google Trends and Bitcoin volatility forecast
Authors: Teterin M.A. , Peresetsky A.A. 
Published: January 2025

Since the introduction of Bitcoin in 2008, the size of the cryptocurrency market is becoming increasingly important for investors. Thus, the forecast of cryptocurrency price volatility is of particular interest to portfolio investors, as they are interested in accurately estimating the standard deviation of their portfolios to calculate the Value-at- Risk (VaR) as a risk measure for more optimal portfolio management. The HAR-RV model introduced by F. Corsi (in 2009) became more effective than the traditional GARCH type models in forecasting in the volatility of fi nancial assets. In the last decade, cryptocurrencies started to dominate both the social media and the fi nancial press. At the same time, some academic papers use social media data to enhance the cryptocurrency volatility forecasting models. In our paper, we study how the use of Google Trends data could improve the precision of one-day-ahead of Bitcoin price volatility models forecasts. We use three different measures of the forecast precision. All models are estimated in rolling windows in order to control for possible structural breaks. Also, we estimate the optimal length of rolling windows to provide the best forecast precision on the historical Bitcoin price data from January 1, 2018 to December 31, 2022. We verify that the predictive power of the chosen model statistically differs from other models via MCS-test.
С появлением в 2008 г. биткоина размер рынка криптовалют вырос и стал важным для инвесторов. Таким образом, сегодня прогноз волатильности цены криптовалюты является предметом особого интереса для портфельных инвесторов, поскольку они заинтересованы в точной оценке стандартного отклонения их инвестиционных портфелей для вычисления сумм под риском (VaR) как меры риска для оптимального управления портфелем. HAR-RV-модель, предложенная F. Corsi (в 2009 г.), показала бóльшую эффективность при прогнозировании волатильности финансовых активов по сравнению с более традиционными моделями из семейства GARCH. В последнее десятилетие сообщения и статьи о криптовалютах стали все чаще появляться как в социальных медиа, так и в финансовой прессе. В то же время в некоторых академических исследованиях авторы используют данные социальных медиа для улучшения моделей прогноза волатильности криптовалют. В данной работе мы проводим анализ того, как использование данных Google Trends могут повысить точность моделей для однодневного прогноза волатильности цены биткоина. В исследовании мы используем три различные меры точности прогнозов. Все модели оцениваются в скользящих окнах для контроля на наличие структурных сдвигов в данных. Также мы подбираем оптимальный размер скользящего окна для получения наилучшего прогноза на исторических данных цены биткоина с 01.01.2018 по 31.12.2022. С помощью MCS-теста мы показываем, что прогнозная сила выбираемой модели статистически отличается от других.
О принятии решений в вероятностных моделях с неопределенностью
Authors: Ширяев А.Н. 
Published: January 2025

В основе современной теории вероятностей лежит понятие «вероятностное пространство», которое позволяет определить такие понятия, как «случайная величина» и ее «математическое ожидание». Они являются объектами, в терминах которых, в частности, определяется качество выносимых решений, даются определения оптимальных решающих функций и функций полезности. В вероятностных моделях систем с неопределенностью (вероятностно- неопределенные системы) приходится иметь дело уже не с одним вероятностным пространством, а с их семейством. В этом случае привлекают такие понятия, как «сублинейные ожидания», «g-ожидания», «обратные стохастические дифференциальные уравнения», «емкости» и «интегралы Шоке» и др. Классические теоремы типа закона больших чисел приобретают новую форму. Настоящая статья призвана привлечь внимание читателей журнала к проблематике, связанной с некоторыми аспектами вероятностных и вероятностно- неопределенных моделей и сравнительно новыми методами их исследования.
In the modern theory of probability the basic notion is «probabilistic space» on which the notions of random variables and their expectations are defi ned. These elements give, in particular, a possibility to determine the quality of decisions, to defi ne decision functions and their quality. At the same time in probability models with uncertainty we need to consider instead of one probability space a family of such spaces. For this case of uncertainty we have notions of sublinear and nonlinear expectations, g-expectations, backward stochastic differential equations, notions of Choquet capacity and integrals. The classical law of large number has a new form under assumption of uncertainty. The present paper has an overview character and is aimed to attract the readers’ attention to new probabilistic aspects of modeling under uncertainty and to corresponding tools of investigation. The paper is an extended version of the author’s report at the seminar on mathematical economics of V. I. Danilov and V. M. Polterovich at Moscow School of Economics, MSU, given on 30 January 2024
Влияние сокращения промежуточного импорта из Китая на российскую промышленность
Authors: Кузнецов Д.Е. 
Published: January 2025

В статье изучается влияние шока предложения импорта промежуточных товаров на динамику обрабатывающей промышленности. Хронология распространения COVID-19 позволяет рассматривать I квартал 2020 г. как период, в течение которого распространение вируса напрямую влияло на экономическую активность в Китае, но не в большинстве других стран. Поэтому сокращение импорта из Китая в этот период можно рассматривать как натуральный эксперимент, дающий экзогенную вариацию предложения импорта промежуточных товаров. Подверженность отраслей российской промышленности сокращению импорта из Китая рассчитывается на основе коэффициентов прямых затрат импорта, учитывает долю Китая в поставках промежуточных товаров и глубину шока предложения импорта. Эконометрические оценки показывают, что характер связи динамики промышленного экспорта с динамикой поставок промежуточных товаров из Китая изменился в I квартале 2020 г., что согласуется с предположением о том, что значение коэффициента в периоды вне 2020 г. в общем случае не может быть использовано для оценки влияния шока предложения промежуточных товаров на отрасли. Негативное воздействие шока на валовую добавленную стоимость в обрабатывающей промышленности в I квартале 2020 г. оценивается в 1,9–3,1%, а на промышленный экспорт — в 6,5–7,0%.
The study assesses the impact of the intermediate imports supply shock on the dynamics of Russian manufacture. The chronology of COVID-19 pandemic suggests that the 1st quarter of 2020 was the period during which the spread of the virus directly affected economic activity only in China, but not in most other countries. Therefore, the decline in imports from China during this period can be seen as a natural experiment, which provides exogenous variation of intermediate imports supply. The exposure of Russian industries to Chinese intermediate import shock is calculated based on input–output coeffi cients, as well as China’s share of intermediate goods imports and the magnitude of supply shock. Econometric estimates suggest that the relationship between the dynamics of manufacture and the imports of intermediate goods from China changed signifi cantly in the 1st quarter of 2020. The result consistent with the assumption that the value of the coeffi cient for periods before 2020 may be endogenous, therefore it cannot be used to assess the consequences of the intermediate goods supply shock. Based on the estimated coeffi cients, the negative effect of supply shock on gross manufacturing value added in the 1st quarter of 2020 is estimated as 1.9–3.1% and 6.5–7.0% for manufacture exports.