bluuebunny/crossref_metadata_2025_split huggingface dataset:
Scholarly Impact of Quality Improvement Reports in Neonatology
Authors: Sivadanam Supriya , Teiko-Awere Edna , Tumin Dmitry , Haberstroh Amanda , Reis Heidi , Akpan Uduak S. 
Published: June 2024

Objective Neonatology quality improvement (QI) projects can improve the safety and value of health care, but the scholarly impact of published QI projects is unclear. We measured scholarly citation and media attention garnered by published neonatology QI projects and analyzed project or publication characteristics associated with increased impact metrics.
Study Design We identified publications between 2016 and 2019 using mapping review methodology. We correlated project characteristics with measures of scholarly citation in Scopus and Google Scholar, and media attention as measured by Altmetrics. We collected Citation and Altmetric data in 2023.
Results The search identified 148 eligible articles, with a median citation count of 7 based on Scopus (or 12, based on Google Scholar) and a median Altmetric score of 2. Notably, 66% of articles published in a journal with an Impact Factor (IF) had more citations per year than would be expected from the IF value. Higher scientific citations were associated with articles reporting process and cost outcomes; implementing interventions that addressed family education or organizational change; and using regression analysis. Higher media attention was associated with multicenter projects, longer intervention periods, and projects scoring higher on the Quality Improvement Minimum Quality Criteria Set (QI-MQCS) rubric.
Conclusion Published neonatology QI projects are well cited in subsequent scientific publications, with the choice of project outcome, interventions, and analytic strategy influencing citation metrics. Adherence to QI-MQCS guidelines was favorably associated with media attention, but not with scholarly citations.
Key Points
Demographic Profile, Clinical Features, Imaging, and Outcomes in Patients with Traumatic Brain Injury Presenting in Garhwal Himalayas in Tertiary Care Hospital
Authors: Garg Ritish , Arora Pankaj , Shankar Vibhu 
Published: June 2024

Abstract
Introduction Traumatic brain injury (TBI) poses a significant global health challenge, accounting for over 50% of trauma-related deaths and emerging as a leading cause of mortality and disability.
Objective This article studies the demographic characteristics, clinical features, imaging findings, and outcomes of TBI patients.
Materials and Methods This was a retrospective observational study conducted on 490 patients with TBI. Data regarding age, gender, socioeconomic status, and residential location were extracted from medical records. Neuroimaging reports, including computed tomography (CT) scans results, were analyzed for structural and functional insights.
Results The majority of TBI cases involved individuals aged 21 to 40, with a higher incidence in males. Road traffic accidents were identified as the most common mode of injury, followed by falls. Most of the patients had moderate Glasgow Coma Scale scores at admission. CT scans indicated skull fractures, cerebral edema, and subdural hematomas as common findings. Most patients did not require ventilator support, and the majority had a hospital stay of less than 10 days. At discharge, 89.8% exhibited favorable outcomes, while 4.3% experienced mortality during treatment. Follow-up data demonstrated an overall mortality rate of 8.8%, with 89.2% achieving complete recovery within a month.
Conclusion The study underscores the importance of understanding the multifaceted aspects of TBI, emphasizing the need for integrated approaches in tertiary medical care to optimize patient outcomes and contribute to effective public health strategies.
Clinical and Molecular Characteristics of Megakaryocytes in Myelodysplastic Syndrome
Authors: Luo Fangxiu , Zhao Jialu , Chen Yubao , Peng Zhenping , An Ran , Lu Yeling , Li Jiaming 
Published: June 2024

Abstract
Objective Myelodysplastic syndrome (MDS) is a malignant clonal disorder of hematopoietic stem cells which is characterized by morphologic dysplasia. However, the pathological characteristics of megakaryocytes (MKs) in MDS patients with gene mutation are not well established.
Methods Bone marrow MK specimens from 104 patients with primary MDS were evaluated, and all patients were distributed into two groups according to gene mutation associated with functional MKs. The morphologic and cellular characteristics of MKs and platelets were recorded and compared.
Results The more frequently mutated genes in MDS patients were TUBB1 (11.54%), VWF (8.65%), NBEAL2 (5.77%), and the most common point mutation was TUBB1 p.(R307H) and p.(Q43P). Patients with MK mutation showed a decrease in adenosine diphosphate-induced platelet aggregation, high proportion of CD34+ CD61+ MKs (10.00 vs. 4.00%, p = 0.012), and short overall survival (33.15 vs. 40.50 months, p = 0.013). Further, patients with a higher percent of CD34+ CD61+ MKs (≧20.00%) had lower platelet counts (36.00 × 109/L vs. 88.50 × 109/L, p = 0.015) and more profound emperipolesis (p = 0.001). By analyzing RNA-sequencing of MKs, differentially expressed mRNA was involved in physiological processes including platelet function and platelet activation, especially for MDS patients with high percent of CD34+CD61+MKs. The high levels of expression of CD62P, CXCL10, and S100A9 mRNA, shown by RNA sequencing, were validated by PCR assay.
Conclusion High proportion of CD34+ CD61+ MKs was a poor prognostic factor in MDS patients with MK mutation. CD62P, CXCL10, and S100A9 may be the potential targets to evaluate the molecular link between gene defects and platelet function.
Medieval re-creation and translation in Edwin Morgan and Derek Jarman’s archives: A dialogue
Authors: Brooks Francesca , Myerson E. K. 
Published: June 2024

AbstractThis dialogue brings together two archives: the Derek Jarman collection at Tate Britain and the Edwin Morgan manuscripts at the University of Glasgow Library Archives and Special Collections. Both Jarman and Morgan were queer artists who reforged the medieval past through visual and verbal processes, including scrapbooking, collage, and translation. The dialogue also brings together two critics, Francesca Brooks and E.K. Myerson, who have been responding to these archives through a combination of traditional scholarship and creative practice. Both in their approach to the medieval past and in their multimedia, visio-verbal practices, Jarman and Morgan’s archives are generative, fluid, and expansive spaces that invite embodied, affective, and creative responses. The dialogue explores what it means to be a medievalist working in the modern archive and how our critical approaches to the medieval subjects of our research might be changed and transformed by this work.
Identifying the losers in the transport transition: evidence from Germany
Authors: Rangel Guevara Andrea C. 
Published: June 2024

AbstractPublic acceptance of transport transition policies in the European Union is low as they are considered regressive. This paper provides a clear way of identifying the winners and losers of these policies by focusing on transport poverty. A two-step methodology is followed. First, principal component analysis (PCA) unifies the literature by defining the main underlying dimensions of transport poverty. These highlight the importance of a household’s spatial matching, self-imposed driving restrictions, and available resources. Second, the use of a latent class model (LCM) makes it possible to classify households according to four profiles in the first-ever transport poverty scale (TPS). 14.7 million German households are classified as transport-poor and car-dependent. These two classes represent the most constrained households in terms of resources (time and money) and options available for transport. The degree of spatial matching plays a key role in defining class assignments. Finally, the application of the TPS quantifies the heterogeneous reaction of each transport poverty class to increases in the cost of driving (e.g., the carbon tax). The car-dependent and the transport-poor are the losers in the transition due to inelastic driving demand. Policies reflecting class-based responses to achieve the goals of the transport transition are presented. Alleviating the burden on the transport-poor and car-dependent could increase the acceptability of policies and accelerate the transport transition.
The mediating role of accounting information systems in small and medium enterprise strategies and organizational performance in Iraq
Authors: Kareem Haitham Mohsin , Alsheikh Awatif Hodaed , Alsheikh Warda Hodaed , Dauwed Mohammed , Meri Ahmed 
Published: June 2024

AbstractThis paper examined accounting information systems (AIS) as a mediator between small and medium-sized enterprises (SMEs) strategies, including (finance source, administrative innovation, organizational culture, developing capabilities levels of SMEs, information source, development of business managers, and technological innovation) and organizational performance. In this quantitative study, 450 self-administered questionnaires were distributed to the managers and owners of SMEs using purposive sampling. Data were analyzed using the structural equation modeling (SEM) method via SmartPLS3 Software. The study offers empirical findings on the importance of AIS as a mediator, considers various factors, and provides clear strategies for better work performance. The study confirmed that the SMEs’ strategy and the use of an AIS significantly and positively affected SMEs’ organizational performance, while AIS use partially mediated between SMEs’ strategy and organizational performance. This result confirms that an SME can enhance its performance by using AIS. AIS can support organizational performance through an SME strategy, avoid human errors, provide cost-against-time savings, and assist in timely internal decision-making considering long-term benefits. However, the results may not reflect the actual performance situation and cannot be generalized to all provinces or other countries because environments differ.
Amber free energy tools: Interoperable software for free energy simulations using generalized quantum mechanical/molecular mechanical and machine learning potentials
Authors: Tao Yujun , Giese Timothy J. , Ekesan Şölen , Zeng Jinzhe , Aradi Bálint , Hourahine Ben , Aktulga Hasan Metin , Götz Andreas W. , Merz Kenneth M. , York Darrin M. 
Published: June 2024

We report the development and testing of new integrated cyberinfrastructure for performing free energy simulations with generalized hybrid quantum mechanical/molecular mechanical (QM/MM) and machine learning potentials (MLPs) in Amber. The Sander molecular dynamics program has been extended to leverage fast, density-functional tight-binding models implemented in the DFTB+ and xTB packages, and an interface to the DeePMD-kit software enables the use of MLPs. The software is integrated through application program interfaces that circumvent the need to perform “system calls” and enable the incorporation of long-range Ewald electrostatics into the external software’s self-consistent field procedure. The infrastructure provides access to QM/MM models that may serve as the foundation for QM/MM–ΔMLP potentials, which supplement the semiempirical QM/MM model with a MLP correction trained to reproduce ab initio QM/MM energies and forces. Efficient optimization of minimum free energy pathways is enabled through a new surface-accelerated finite-temperature string method implemented in the FE-ToolKit package. Furthermore, we interfaced Sander with the i-PI software by implementing the socket communication protocol used in the i-PI client–server model. The new interface with i-PI allows for the treatment of nuclear quantum effects with semiempirical QM/MM–ΔMLP models. The modular interoperable software is demonstrated on proton transfer reactions in guanine-thymine mispairs in a B-form deoxyribonucleic acid helix. The current work represents a considerable advance in the development of modular software for performing free energy simulations of chemical reactions that are important in a wide range of applications.
Solvent structure and dynamics over Brønsted acid MWW zeolite nanosheets
Authors: Wilson Woodrow N. , Whittington Justin , Rai Neeraj 
Published: June 2024

In the liquid phase of heterogeneous catalysis, solvent plays an important role and governs the kinetics and thermodynamics of a reaction. Although it is often difficult to quantify the role of the solvent, it becomes particularly challenging when a zeolite is used as the catalyst. This difficulty arises from the complex nature of the liquid/zeolite interface and the different solvation environments around catalytically active sites. Here, we use ab initio molecular dynamics simulations to probe the local solvation structure and dynamics of methanol and water over MWW zeolite nanosheets with varying Brønsted acidity. We find that the zeolite framework and the number and location of the acid sites in the zeolite influence the structure and dynamics of the solvent. In particular, methanol is more likely to be in the vicinity of the aluminum (Al3+) at the T4 site than at T1 due to easy accessibility. The methanol oxygen binds strongly to the Al at the T4 site, weakening the Al–O for the bridging acid site, which results in the formation of the silanol group, significantly reducing the acidity of the site. The behavior of methanol is in direct contrast to that of water, where protons can easily propagate from the zeolite to the solvent molecules regardless of the acid site location. Our work provides molecular-level insights into how solvent interacts with zeolite surfaces, leading to an improved understanding of the catalytic site in the MWW zeolite nanosheet.
Control of intrinsic ferroelectricity and structural phase in pure HfO2 films via crystalline orientation
Authors: Zhang Haiyi , Tu Yuchen , Wang Zijian , Zhou Xiang , Wang Yuchen , Du Xinzhe , Shen Shengchun , Yin Yuewei , Li Xiaoguang 
Published: June 2024

Abstract
The ferroelectricity of hafnia-based thin films has garnered considerable attention in both academic researches and industrial applications. However, the fundamental properties, such as high coercivity, the wake-up effect, and the mechanism of ferroelectricity have not been fully elucidated. Here we report the crystallization orientation control of structural phase and ferroelectricity in pure HfO2 thin films. Both (001)- and (111)-oriented HfO2 thin films exhibit a mixture of ferroelectric orthorhombic and non-ferroelectric monoclinic phases. With decreasing film thickness, the orthorhombic phase ratio increases for both orientations, with a consistently higher proportion for (111)-oriented film. Consequently, the ferroelectricity is significantly enhanced in thinner (111)-oriented film. Remarkably, both (001)- and (111)-oriented pure HfO2 thin films demonstrate an intrinsic ferroelectricity. Moreover, the coercive field of the (001)-oriented film appears to be lower than that of the (111)-oriented film. Additionally, oxygen ions migrate more easily in the (001)-oriented film, which exhibits distinct electronic structure and local atomic ordering compared to the (111)-oriented film. These results provide valuable insights into the ferroelectricity of HfO2 and suggest that crystalline orientation is an effective approach to explore the ferroelectric properties in hafnia-based films.
Plasmonic properties and stability of Au and Cu nanoparticles embedded in cerium oxide
Authors: Spurio Eleonora , Pelatti Samuele , D’Addato Sergio , Luches Paola 
Published: June 2024

Abstract
With the aim of sensitizing cerium oxide—a very important catalytic material—to visible light, its coupling with Au and Cu nanoparticles is investigated. The samples are grown by physical synthesis by embedding a layer of nanoparticles between two cerium oxide films. The films are controlled in composition by in-situ x-ray photoemission spectroscopy and in morphology by ex-situ scanning electron microscopy. The optical properties as a function of the oxide thickness, investigated by spectrophotometry in the UV-Vis range, are interpreted based on the results of the morphological characterization and of simulations based on the Maxwell Garnett model. The stability of chemical and optical properties after air exposure is also investigated. The results, indicating that stable materials with tuneable optical properties can be obtained, are important in view of the potential application of the investigated systems in photocatalysis.
Hyperchaotic color image encryption scheme based on simultaneous color channel confusion-diffusion operations
Authors: Kengnou Telem Adélaïde Nicole , Tchito Tchapga Christian , Nkapkop Jean De Dieu , Nguimfack Ndongmo Jean De Dieu , Tsafack Nestor , Boui A Boya Bertrand Frederick 
Published: June 2024

Abstract
Shortcomings have been identified in current color image encryption methods. Firstly, these methods encrypt each color channel separately, resulting in a time-consuming process and independent encrypted channels, which can make hacking easier. Secondly, the use of XOR operations between image pixel values and code values during encryption can be vulnerable. To address these issues, a novel algorithm is introduced that incorporates a new XOR operation and simultaneous encryption of color channels. This approach creates interdependence between the encrypted channels, reduces encryption time, and enhances security by introducing a more complex XOR operation. The proposed method employs a substitution technique that involves XOR operations between groups of pixels and codes, inspired by the principles of the fast Walsh-Hadamard transform algorithm. The encryption process involves several key phases that enhance the security and efficiency of the system. In the initial phase, line processing involves mixing lines from different channels and application of chaotic substitution permutation operations. Subsequently, a similar operation is applied to columns, and finally, the channels are divided into overlapping squared sub-blocks, with a newly XOR proposed chaos-based confusion operation simultaneously applied to the three-channel sub-blocks. These phases are designed to ensure interdependence between color channels and reduce encryption time, resulting in a more robust encryption method. With this method, the RGB cipher channels become mutually dependent, rendering decryption of one channel impossible without the others. The approach has been evaluated using appropriate metrics and found to be robust, efficient, and resistant to various attacks, outperforming recently published methods. It is suitable for modern image encryption applications, including those related to the Internet of Medical Things (IoMT).
Comprehensive analysis of COVID-19 transmission dynamics: mathematical modeling, stability analysis, and optimal control strategies
Authors: ullah Ibad , Ali Nigar , Ul Haq Ihtisham , Daher Albalwi Mohammed , Muhammad Shah , Shuaib Mohammad 
Published: June 2024

Abstract
This paper presents a mathematical model for comprehensively analyzing the transmission dynamics of COVID-19. We investigate the model’s various properties, such as positivity, boundedness, and the existence and uniqueness of solutions. Additionally, we calculate the basic reproductive number, denoted as R
0, to gauge the epidemic’s potential spread. Furthermore, we conduct a stability analysis to understand the long-term behavior of the model. Furthermore, we devised an optimal control strategy to effectively curb disease transmission. Using graphical analysis, we assess the impact of secondary infection rates and quarantine rates across different population groups. Finally, we compare our proposed numerical scheme with the well-known RK-4 scheme, emphasizing the NSFD scheme’s ability to maintain positivity, unlike the RK-4 scheme. Our numerical simulations offer strong evidence supporting the theoretical findings, demonstrating the effectiveness of our results.
Three-dimensional transient multilayer heat conduction sphere comprising metallic particles
Authors: Riasat Saima , Ramzan Muhammad , Alshahrani Saad , Kumar R S Varun , K Chandan 
Published: June 2024

Abstract
A numerical approach employing finite element methodology is utilized to analyze the thermal behavior of a three-dimensional multilayer sphere composed of copper, single-wall, and multi-wall carbon nanotubes. The study investigates the external heat flux, temperatures within the three spherical layers, and their associated contours. Notably, this research diverges from prior studies by opting for copper, single-wall, and multiwall carbon nanotubes instead of generic metallic layers. Graphs are generated to illustrate the relationships between various effects and profiles. Analysis of temperature contours and distributions under non-uniform heat flux reveals that temperatures are more concentrated towards the center when the initial temperature is non-zero compared to scenarios where the inner surface starts at zero temperature. Temperature contours at t = 2, 5, 7, 9, 11, 13, 15, 27, 35, and 45 s with non-zero initial temperature are calculated. For non-zero initial temperature contours are drawn for t = 2, 45 s temperature contours are drawn. Temperature in radial azimuthal and tangential directions for t = 1, 1.5, 2, 2.5, 3 s and steady state are drawn. The initial temperature of the ith surface is kept at

f

i

(
r
,
θ
,
ϕ
)

,

where

r

o

≤
r
≤

r

3

,
0
≤
θ
≤
π
,
0
≤
ϕ
≤
2
π
.

It has been concluded that for zero initial temperatures after 45 s, the temperature is at

0.005

K

and Temperature contours for non-zero inner layer temperature t = 5 s shows

10.7

K
.
Enhanced floating debris detection algorithm based on CDW-YOLOv8
Authors: Shi Chenan , Lei Meizhen , You Weiqi , Ye Haitao , Sun Haozhe 
Published: June 2024

Abstract
The issue of floating debris on water surfaces is becoming increasingly prominent, posing significant threats to aquatic ecosystems and human habitats. The detection of floating debris is impeded by complex backgrounds and water currents, resulting in suboptimal detection accuracy. To enhance detection effectiveness, this study presents a floating debris detection algorithm rooted in CDW-YOLOv8. Firstly, the study augments the original C2f module by incorporating the Coordinate Attention (CA) mechanism, resulting in the C2f-CA module, to boost the model’s sensitivity to target locations. Secondly, the study substitutes the standard Upsample module with the DySample module to diminish model parameters and increase flexibility. Furthermore, the study incorporates a small object detection layer to enhance the detection performance of small floating debris. Lastly, the Complete-IOU (CIOU) loss function is substituted by the Focaler-Wise-IOU v3 (Focaler-WIoUv3) loss function, which aims to minimize the impact of low-quality anchor boxes and improve regression accuracy. Experimental results demonstrate that the improved CDW-YOLOv8 algorithm has realized a comprehensive performance improvement in accuracy, recall rate, mAP@0.5, and mAP@0.5:0.95, noting increases of 2.9%, 0.6%, 2.5%, and 1.5%, respectively, relative to the original YOLOv8 algorithm. This offers a robust reference for the intelligent detection and identification of floating debris on water surfaces.