bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prevalence of Pulmonary Hypertension among Sudanese Patients with Sickle Cell Disease
Authors: Elfaki Yousif Ahmed , Ibrahim Ahmed Saadeldin , Merghani Tarig Hakim 
Published: May 2024

Background
Sickle Cell Disease (SCD) is a hereditary condition characterized by aberrant red blood cell morphology, leading to persistent hemolytic anemia. The consequential impact of SCD on the pulmonary vasculature can result in pulmonary hypertension (PHT), a severe complication that detrimentally affects the well-being and survival of individuals with SCD. The prevalence and risk determinants of PHT in SCD patients exhibit variations across diverse geographical regions and populations. This study aims to ascertain the prevalence of PHT among Sudanese SCD patients and identify associated factors.

Methods
A cohort of thirty-one adult sickle cell disease (SCD) patients, as confirmed by hemoglobin electrophoresis, were recruited for participation in this cross-sectional study. Comprehensive data encompassing demographic, clinical, and laboratory parameters were collected. Doppler echocardiography was employed to quantify pulmonary arterial systolic pressure (PASP) and evaluate right ventricular size and function.

Results
Within our cohort, the prevalence of PHT was 29%. Active cigarette smoking demonstrated a significant association with PHT (P=0.042), while hydroxyurea therapy exhibited no noticeable impact on PHT (P=0.612).

Conclusion
Our investigation revealed a PHT prevalence of less than one-third in our SCD patient population, aligning with prior studies. Notably, independent of other factors, cigarette smoking emerged as a distinct risk factor for PHT in SCD patients. This highlights the potential utility of smoking cessation as an intervention to delay the onset of this condition. However, further research is imperative to elucidate the mechanisms through which smoking contributes to PHT development in individuals with SCD.
User-Centered Framework for Implementation of Technology (UFIT): Development of an Integrated Framework for Designing Clinical Decision Support Tools Packaged With Tailored Implementation Strategies
Authors: Ray Jessica , Finn Emily Benjamin , Tyrrell Hollyce , Aloe Carlin F , Perrin Eliana M , Wood Charles T , Miner Dean S , Grout Randall , Michel Jeremy J , Damschroder Laura J , Sharifi Mona 
Published: May 2024

Background
Electronic health record–based clinical decision support (CDS) tools can facilitate the adoption of evidence into practice. Yet, the impact of CDS beyond single-site implementation is often limited by dissemination and implementation barriers related to site- and user-specific variation in workflows and behaviors. The translation of evidence-based CDS from initial development to implementation in heterogeneous environments requires a framework that assures careful balancing of fidelity to core functional elements with adaptations to ensure compatibility with new contexts.

Objective
This study aims to develop and apply a framework to guide tailoring and implementing CDS across diverse clinical settings.

Methods
In preparation for a multisite trial implementing CDS for pediatric overweight or obesity in primary care, we developed the User-Centered Framework for Implementation of Technology (UFIT), a framework that integrates principles from user-centered design (UCD), human factors/ergonomics theories, and implementation science to guide both CDS adaptation and tailoring of related implementation strategies. Our transdisciplinary study team conducted semistructured interviews with pediatric primary care clinicians and a diverse group of stakeholders from 3 health systems in the northeastern, midwestern, and southeastern United States to inform and apply the framework for our formative evaluation.

Results
We conducted 41 qualitative interviews with primary care clinicians (n=21) and other stakeholders (n=20). Our workflow analysis found 3 primary ways in which clinicians interact with the electronic health record during primary care well-child visits identifying opportunities for decision support. Additionally, we identified differences in practice patterns across contexts necessitating a multiprong design approach to support a variety of workflows, user needs, preferences, and implementation strategies.

Conclusions
UFIT integrates theories and guidance from UCD, human factors/ergonomics, and implementation science to promote fit with local contexts for optimal outcomes. The components of UFIT were used to guide the development of Improving Pediatric Obesity Practice Using Prompts, an integrated package comprising CDS for obesity or overweight treatment with tailored implementation strategies.

Trial Registration
ClinicalTrials.gov NCT05627011; https://clinicaltrials.gov/study/NCT05627011
Gender Inequalities of Health and Quality of Life in Informal Caregivers in Spain: Protocol for the Longitudinal and Multicenter CUIDAR-SE Study
Authors: Garcia-Calvente María del Mar , Mora Diana Juanita , Del Río-Lozano María 
Published: May 2024

Background
The aging population and increased disability prevalence in Spain have heightened the demand for long-term care. Informal caregiving, primarily performed by women, plays a crucial role in this scenario. This protocol outlines the CUIDAR-SE study, focusing on the gender-specific impact of informal caregiving on health and quality of life among caregivers in Andalusia and the Basque Country from 2013 to 2024.

Objective
This study aims to analyze the gender differences in health and quality of life indicators of informal caregivers residing in 2 Spanish autonomous communities (Granada, Andalusia, and Gipuzkoa; Basque Country) and their evolution over time, in relation to the characteristics of caregivers, the caregiving situation, and support received.

Methods
The CUIDAR-SE study uses a longitudinal, multicenter design across 3 phases, tracking health and quality of life indicators among informal caregivers. Using a questionnaire adapted to the Spanish context that uses validated scales and multilevel analysis, the research captures changes in caregivers’ experiences amid societal crises, notably the 2008 economic crisis and the COVID-19 pandemic. A multistage randomized cluster sampling technique is used to minimize study design effects.

Results
Funding for the CUIDAR-SE study was in 3 phases starting in January 2013, 2017, and 2021, spanning a 10-year period. Data collection commenced in 2013 and continued annually, except for 2016 and 2020 due to financial and pandemic-related challenges. As of March 2024, a total of 1294 participants have been enrolled, with data collection ongoing for 2023. Initial data analysis focused on gender disparities in caregiver health, quality of life, burden, perceived needs, and received support, with results from phase I published. Currently, analysis is ongoing for phases II and III, as well as longitudinal analysis across all phases.

Conclusions
This protocol aims to provide comprehensive insights into caregiving dynamics and caregivers’ experiences over time, as well as understand the role of caregiving on gender inequality in health, considering regional variations. Despite limitations in participant recruitment, focusing on registered caregivers, the study offers a detailed exploration of the health impacts of caregiving in Spain. The incorporation of a gender perspective and the examination of diverse contextual factors enrich the study’s depth, contributing significantly to the discourse on caregiving health complexities in Spain.

International Registered Report Identifier (IRRID)
DERR1-10.2196/58440
How management information systems might add value to the decision-making process in organizations
Authors: Souza Lucas Almeida de , Barros Manoel Joaquim F. de , Melo Paulo 
Published: May 2024

The management information systems are a fundamental issue of the decision-making process in any organization. So, the main motivation for this study was to understand how management information systems might or might not add value to the decision-making process within organizations. To carry out this study, authors have mainly focused on key concepts such as “Management Information System (MIS)” and “decision-making process” through an extensive review of bibliography and papers seeking to delimitate the state of art regarding the identification of their theoretical frameworks. The literature review confirmed that the main mechanism in which management information systems might add value to the decision-making process goes beyond the process itself, helping organizations to make better decisions based on data not on guesses. Another conclusion is that, while strengthening and improving the managers’ decisions, it facilitates and improves communication and collaboration. They seem to play a crucial role in enhancing the decision-making process having impact in the organizations’ performance at all levels. Finally, for suggestions of future studies, researchers should analyze more deeply the effectiveness of the three performance indicators for measuring such contributions of MIS to the decision-making process: speed, precision, and complexity.
Comparison Accuracy of CHIRPS, GSMaP V7, and GSMaP V8 Satellite Rainfall Estimation in Kalimantan
Authors: Suryanto Joko , Krisbiyantoro Joko 
Published: May 2024

The application of satellite product rainfall estimates (SPREs) is growing in hydrometeorology due to limited rainfall measurement. This study aims to compare the accuracy of three SPRE, namely Climate Hazards Group InfraRed Precipitation with Station (CHIRPS), Global Satellite Mapping of Precipitation (GSMaP) Moving Vector with Kalman Filtering (GSMaP-MVK), and near-real-time (GSMaP-NRT) versions 7 and 8, against daily and monthly rainfall measurements from eighteen gauges in Kalimantan from December 2021 to May 2023. Continuous validation includes root mean square error (RMSE), relative bias (RB), and correlation coefficient (CC), and categorical validation consists of a probability of detection (POD), false alarm ratio (FAR), and critical success index (CSI) were used to assess the accuracy of SPREs. The results showed that GSMaP-MVK version 8 has the highest accuracy on a daily scale with an RMSE value of 14.31 mm/day, while the CHIRPS has the highest accuracy on a monthly scale with an RMSE of 81 mm/month. GSMaP version 8 is better than GSMaP version 7, with a difference in RMSE, CC, and RB at 14.2%, 9.7%, and 84%. Categorical validation showed that GSMaP version 8 was 2.13%, higher in POD, 3.95% in CSI, and 10.2% in FAR compared to GSMaP version 7. Keywords: Accuracy, CHIRPS, GSMaP, Kalimantan, Rain-gauge.
Etika Jurnalistik dalam Pemberitaan Kematian
Authors: Hardian Arvin 
Published: May 2024

Berita kematian adalah konten sensitif. Waktu dan akurasi menjadi pertaruhan media. Apalagi, jika yang wafat adalah tokoh yang menjadi buah bibir publik. Jurnalisme online kerap menjadi sorotan karena sering kali mengorbankan prinsip-prinsip dasar jurnalisme seperti akurasi berita demi mengejar kecepatan. Penelitian ini dilakukan untuk mendeskripsikan akurasi berita dalam jurnalisme online khususnya kasus berita kematian sastrawan Sapardi Djoko Damono, yang wafat hari Minggu (19/07/2020) pukul 09.17 WIB. Dengan menggunakan metode penelitian analisis isi kualitatif dengan mengkomparasi antara Kompas.com dan Tempo.co mengenai pengutipan akurasi isi berita berita terhadap akurasi pengambilan nara sumber berita
Construction and validation of a financial risk prediction model for e-commerce enterprises oriented to financial sharing
Authors: Wang Sheng 
Published: May 2024

Abstract
Relying on advanced technology, the financial shared management model realizes a breakthrough for the enhancement of enterprise financial management capability, and provides effective support for enterprise decision makers while mining financial risks. In this paper, the support vector machine algorithm (SVM) is used to construct a financial risk prediction model for e-commerce enterprises, and the radial basis kernel function (RBF) is selected among various kernel functions to enhance the discriminative ability of SVM. At the same time, the particle swarm algorithm (PSO) is introduced to optimize parameter γ and penalty factor C of the RBF kernel function, and the PSO-SVM fusion model is constructed, so as to improve the prediction accuracy of the e-commerce enterprise financial risk prediction model. After the experimental analysis of this paper on the various capabilities of enterprise financial management, it is found that the operating cash flow ratio of the e-commerce enterprise is less than 40% in 2017-2021, and reaches a minimum of 3% in 2020, which indicates that the Z e-commerce enterprise has insufficient ability to raise debt to operate, which may cause problems such as a decrease in the rate of return on assets. In addition, the cash flow of the e-commerce enterprise is highly variable, and the cash outflow from operating activities is significantly higher than the cash inflow in 2020, resulting in a negative net inflow of −111,451,575,000 yuan. It indicates that the Z e-commerce enterprise has a low degree of control over cash flow, and there is a financial risk of a sudden break in the capital chain. Therefore, the risk prediction model constructed in this paper can uncover potential hidden financial dangers and risks by analyzing the financial data of e-commerce enterprises.
Research on Attack Path Discovery of Power Information Network Based on Bayesian Inference
Authors: Li Yuan , Liu Haixia , Yao Fei , Liu Wei , Wang Zitong 
Published: May 2024

Abstract
This paper analyzes and researches the network attack in the electric power information environment. The intrusion attack steps are examined, and the Bayesian inference method is applied to investigate the attack source information network delivery. The success probability of the network attack is quantified by likelihood. Noisy Net, Dueling DQN, Soft Q-learning, Prioritized Experience Playback Mechanism, and ICM model are integrated to improve the DQN algorithm from different perspectives. A NDSPI-DQN algorithm is proposed based on Bayesian inference. The experimental results show that comparing the convergence performance of DQN, PPO, and this paper’s algorithm, both this paper’s algorithm and the PPO algorithm can converge to the maximum cumulative reward value within 1000 rounds, and this paper’s algorithm can converge to the optimal value within 350 rounds. In an environment with 120 hosts, the optimal path discovery success rate of this paper’s algorithm is 97.23%. The optimal number of iterations and average running time are 1.12 times and 3.81 seconds. The proposed method is suitable for large-scale power information networks with higher execution efficiency.
Effects of Swirl Distortion on Flow Field and Blade Load of a Centrifugal Compressor
Authors: Li Yanzhao , Hou Hongjuan , Wang Leilei 
Published: May 2024

Abstract
On the turbocharger, two forms of intake pipe, bending and torsion, are usually used, which leads to a vortex at the inlet of the blade. It has been found that double vortices and massive vortices play a significant role in the working characteristics of the compressor. This project intends to conduct a systematic theoretical and experimental study on the effects of vortex deformation under two different working conditions of bending and torsion on the internal flow field, tip leakage flow field, and impeller load of the impeller. It has been found that the presence of a vortex near the blade entrance changes the static pressure and inflow angle near the blade entrance. The reverse transfer of vortex flow and vortex flow caused by vortex has three critical effects on the working characteristics of the compressor: 1. The change of circumferential static pressure and the pressure gradient of the flow in the impeller. 2. The location and density of the leakage flow on the top surface are significantly changed. 3. Adjust the impeller load’s change and fluctuation when it rotates.
The Communion of Digital Media Art and the Aesthetics of Smart City Public Art in an Interdisciplinary Context
Authors: Luo Baoquan 
Published: May 2024

Abstract
The integration of digital media art into the public art design of the smart city can enhance people’s participation and sense of identity in the art design of public space and maximize the attractiveness and cultural connotation of the city itself. Based on this, this paper builds a fusion technology framework mainly based on digital projection technology and digital interaction technology, proposes an interactive projection technology integrating digital projection and Kinect, and combines the dynamic scene image splicing and alignment fusion technology to realize the interaction between the user and the digital scene. In the case analysis of Qianjiang New City, the number of visitors reached 31.55 million in 2022. The evaluation score of landscape facilities in the public evaluation of architectural landscape is under 3.5. The overall evaluation grade is only “general,” and the evaluation mean value of the degree of intelligence of landscape facilities is only 3.089. The comprehensive evaluation satisfaction of the digital landscape includes multimedia landscape, architectural landscape, and landscape facilities, and the average value of the evaluation of the degree of intelligence of the landscape facilities is only 3.089. The satisfaction value of the multimedia landscape, landscape of buildings and structures, and water landscape in the evaluation of satisfaction is 4.36, 4.159, and 4.027, respectively, which reaches the level of “good” satisfaction, while the satisfaction value of landscape facilities is 3.479, which is less than 3.5. The satisfaction level only reaches the level of “general.” The satisfaction value of landscape facilities is 3.479, which is less than 3.5, and the satisfaction level is only “fair.”
Study on the Employment Intention and Influencing Factors of College Graduates in Chengdu-Chongqing Region under the Background of “Talent Competition”
Authors: Zhu Fan 
Published: May 2024

Abstract
In recent years, China has set off a round of “war for talents” all over the world, and college graduates, as a high-quality group of people in the labor market, are the focus of the competition for talent across the globe. How to retain and attract college students is an essential issue in promoting the construction of the Chengdu-Chongqing Twin Cities Economic Circle. An employment prediction algorithm for graduates is proposed in this paper that employs the HMIGW algorithm for feature selection to obtain the optimal feature subset. Then, it uses the XGBoost algorithm to predict the employment situation. In the meantime, a method for selecting fractal dimension attributes based on the binary firefly algorithm is used, and an algorithm for extracting employment willingness influence factor is proposed. In the analysis of the employment intention of college graduates in the Chengdu-Chongqing region, the number of college graduates in 2023 is 366,000; the growth reaches 18.83%, but the number of college graduates who stay in local employment is only 112,000. The mean value of all indicators for college graduates in the Chengdu-Chongqing region is below 4, and their overall satisfaction is low. The group not willing to stay in the area for employment valued the soft environment of the unit (P=0.012) and the economic level of the region (P=0.024) more than the group willing to stay in the area for employment.
Development trend of the application of image recognition technology in the process of sports training
Authors: Wang Yongxing 
Published: May 2024

Abstract
In the realm of sports training, the role of accurate image recognition is increasingly crucial for the effective correction of athletic movements. This research paper delves into the application of image recognition technologies to analyze sports training actions. Initial steps include the enhancement of image quality by filtering and sharpening images captured at a sports academy. Advanced techniques such as target detection algorithms and critical frame extraction are then applied to these refined images. Evaluations conducted on the KTH and UCF Sports action datasets reveal an average recognition rate of 88%, with further breakdowns indicating lower performance in activities like walking, jogging, and fast running in the KTH dataset. In contrast, uniform recognition results are observed in the UCF dataset with an average rate of 89.2% across various actions. The findings underscore the effectiveness of image recognition in improving sports training methodologies.
A Study of Business English Translation Skills Based on Parallel Corpus
Authors: Mo Wanni , Gong Jufang 
Published: May 2024

Abstract
In this paper, the support vector machine is used as the overall classification of the paragraph alignment method. The paragraph length relationship is taken as an essential feature of the business English paragraph alignment model, the CRFs discriminative model is used as the word alignment task model, and the maximum likelihood estimation algorithm is used for model parameter training. Aiming at the real-time alignment needs at the sentence or paragraph level in Business English, the word alignment algorithm based on semantic similarity calculation is proposed, and the evaluation indexes of English-Chinese EC, Chinese-English CE unidirectional alignment and bi-directional fusion alignment, and semantic extension alignment are compared. Adding traditional business English translation techniques, comparing the effects of conventional translation techniques on business English sentence and paragraph translation versus parallel corpus-based translation techniques. The dynamic chunking accuracy of two-way fusion alignment and semantic expansion alignment is 94.57% and 94.32%, respectively, and the accuracy of semantic expansion alignment is 6.85% and 8.17% higher than that of EC one-way alignment. Meanwhile, the number of errors in business English translation works based on parallel corpora is reduced, which can help translators overcome the interference of Chinese chapter structures and improve the quality of their translation works.
Application of Virtual Reality-based Cloud Computing in Digital Creation of Dabie Mountain Culture
Authors: Rong Tao 
Published: May 2024

Abstract
This paper looks at 3D model retrieval techniques for digital virtual workshops in cloud computing. The global D2 shape distribution features are first used to sort the models for initial retrieval. Then the local curvature features are used to further optimize the sorted results to obtain the final retrieval results. Through the historical and cultural theme scene design, stage performance scene design, and interactive performance design to enhance the immersive experience of the corresponding cultural creations, the creative inheritance and dissemination mode of Dabie Mountain culture in the new period is created. The results show that the difference in the percentage of attention points in the landscape node area is significant, P=0.032, indicating that the virtual reality experience group is better able to meet the needs of the experience. The weights of the three evaluation dimensions of the virtual experience of Dabie Mountain folk song culture are, in order, mood design (0.4073) > scene design (0.3814) > context design (0.2113). Designing multi-sensory (visual, auditory, olfactory, tactile) is of the highest importance. In terms of interactive experience, more attention is paid to the timeliness and accuracy of feedback, as well as the guidance of operations. In terms of emotional experience, more attention is paid to the sense of pleasure, surprise, and satisfaction. In the cultural experience, more attention is paid to traditional folk songs and historical architectural displays.