bluuebunny/crossref_metadata_2025_split huggingface dataset:
The systemic lupus erythematosus-associated NCF190H allele synergizes with viral infection to cause mouse lupus but also limits virus spread
Authors: Li Yanpeng , Coelho Ana , Li Zhilei , Alsved Malin , Li Qixing , Xu Rui , Luo Huqiao , Liang Dongxia , Xu Jing , Nandakumar Kutty Selva , Meng Liesu , Löndahl Jakob , Holmdahl Rikard 
Published: February 2025

Abstract
Studying how single nucleotide polymorphisms (SNPs) crosstalk with non-autologous factors to cause complex autoimmune diseases is challenging. An amino acid replacement in the neutrophil cytosolic factor 1 (NCF1-339/NCF1

R90H
) leading to lower reactive oxygen species induction has been reported as the major SNP for systemic lupus erythematosus (SLE). Here we show that infection with the murine norovirus (MNV) contributes to the induction of lupus in Ncf1

90H
mice. Mutant NCF190H upregulates the IFN-α/JAK1/STAT1 pathway in macrophages and anti-MNV-antibody production. In parallel, the MNV infection of NCF190H mice upregulates Toll-like receptor 7 in macrophages, plasmacytoid dendritic cells and B220+ splenocytes, thereby promoting germinal center formation and lupus-associated autoantibodies production. These compounded effects lead to protection against MNV infection but also glomeruloneph	ritis with proteinuria and lupus arthritis in the absence of chemical inducers such as pristane. Our data thus suggest that this SLE-associated SNP, NCF190H, synergizes with MNV infection to induce the development of mouse lupus.
Neural adaptations in short-term learning of sign language revealed by fMRI and DTI
Authors: Alotaibi Sahal , Alamri Sultan , Alsaleh Alanood , Meyer Georg 
Published: February 2025

Abstract
While vocal articulation is a unique feature of spoken languages, signed languages use facial expressions and hand movements for communication. Despite this substantial difference, neuroimaging studies show that spoken and sign language rely on similar areas of the brain in the frontal and parietal regions. However, little is known about the specific roles of these areas and how early they get involved. In the present study, we investigate the impact of short-term training-related changes in learners of British sign language (BSL). Pre- and post-training functional magnetic resonance imaging (fMRI) and diffusion tensor imaging scans were taken from twenty-six right-handed healthy volunteers. During the training course, participants were taught to discriminate and sign basic sentences using BSL for three consecutive days (1 h per day). fMRI results show increasing brain activity in the right cerebellum and cerebral brain areas including bilateral middle temporal gyrus, left angular gyrus, left middle and inferior frontal gyrus. Moreover, functional connectivity increased significantly after training between these areas. Microstructural findings show significant mean diffusivity and radial diffusivity reductions in the left angular gyrus, which are significantly correlated with behavioural improvement. These results reveal a high degree of similarity in the neural activity underlying signed and spoken languages. The rapid microstructural changes, identify the left angular gyrus as a structure that rapidly adapts to newly learnt visual-semantic associations.
Discrepancies in Aggregate Patient Data between Two Sources with Data Originating from the Same Electronic Health Record: A Case Study
Authors: Yiu Allen J. , Stephenson Graham , Chow Emilie , O'Connell Ryan 
Published: February 2025

Abstract
Background Data exploration in modern electronic health records (EHRs) is often aided by user-friendly graphical interfaces providing “self-service” tools for end users to extract data for quality improvement, patient safety, and research without prerequisite training in database querying. Other resources within the same institution, such as Honest Brokers, may extract data sourced from the same EHR but obtain different results leading to questions of data completeness and correctness.
Objectives Our objectives were to (1) examine the differences in aggregate output generated by a “self-service” graphical interface data extraction tool and our institution's clinical data warehouse (CDW), sourced from the same database, and (2) examine the causative factors that may have contributed to these differences.
Methods Aggregate demographic data of patients who received influenza vaccines at three static clinics and three drive-through clinics in similar locations between August 2020 and December 2020 was extracted separately from our institution's EHR data exploration tool and our CDW by our organization's Honest Brokers System. We reviewed the aggregate outputs, sliced by demographics and vaccination sites, to determine potential differences between the two outputs. We examined the underlying data model, identifying the source of each database.
Results We observed discrepancies in patient volumes between the two sources, with variations in demographic information, such as age, race, ethnicity, and primary language. These variations could potentially influence research outcomes and interpretations.
Conclusion This case study underscores the need for a thorough examination of data quality and the implementation of comprehensive user education to ensure accurate data extraction and interpretation. Enhancing data standardization and validation processes is crucial for supporting reliable research and informed decision-making, particularly if demographic data may be used to support targeted efforts for a specific population in research or quality improvement initiatives.
Use of Muscle Interpolation Flap as a Reconstructive Option in Soft Tissue Coverage of Limbs: A Novel Technique
Authors: Swain Bharatendu , Sampreethi Shalini 
Published: February 2025

Abstract
Background In injuries of the hand or forearm with vascular compromise due to a single vessel supplying blood distally or difficulty in donor vessel access, a pedicled flap is preferred. Skin flaps like the groin flap are commonly used as an interpolation flap. Muscle flaps used as interpolation flaps have scarcely been reported in the literature. However, muscle has been a component of composite flaps used as interpolation flaps like the tongue flap. The authors have used pedicled, interpolated muscle flaps successfully in hand and heel reconstructions.
Materials and Methods Five patients with soft tissue loss due to trauma, in single vessel limbs or difficult donor vessel access, were taken up for interpolation muscle flap. Four of these patients underwent inferiorly based, upper rectus abdominis muscle flap delivered at the umbilicus, by endoscopy or the open method. One patient underwent a proximally based, medial head of the gastrocnemius, cross-leg flap. The muscle flaps were skin grafted. One month later, the flaps were delayed and divided shortly thereafter. The divided end of the muscle was dressed till it healed. All the patients were followed up for healing time, additional procedures, and long-term results.
Results Five documented cases of reconstruction in single vessel limbs or difficult donor vessel access were reviewed. All five cases achieved good healing and intended reconstructive outcomes without any complications.
Conclusion An interpolation muscle flap is a safe and effective method for reconstructing limb defects. Both types of interpolation muscle flaps described are novel applications in reconstructive surgery.
Enhancing organizational performance: how gender diversity enhances employee engagement and commitment
Authors: Adam Nawal , Alfawaz Areej 
Published: February 2025

Abstract
This study examines the multifaceted relationship between gender diversity, employee engagement, employee commitment, and organizational performance in the context of Saudi Arabia. Data from 1233 employees working in 19 organizations were collected using random sampling techniques. Using SMARTpls structural equation modeling, the study demonstrates that gender diversity significantly and positively influences employee commitment and engagement in organizations. Furthermore, the study identifies a substantial association between employee commitment, engagement, and organizational performance. The research underscores the pivotal role of gender diversity as a catalyst for enhancing organizational performance. Moreover, it highlights the essential significance of employee commitment and engagement as pivotal elements in the complex relationship between gender diversity and organizational performance. It emphasizes that organizations aspiring to achieve superior performance must prioritize cultivating and nurturing high levels of employee commitment and engagement.
Research on aircraft/engine Co-simulation based on the EOEI-Kriging model
Authors: Chen Chao , Shang Linkuan , An Weiyu , Zhang Hang 
Published: February 2025

Abstract
Obtaining the characteristic parameters of the aircraft platform is the main blocking point that takes a long time in aircraft/engine co-simulation, so a fast co-simulation modeling method is proposed. In this paper, the kriging model based on the improved EOEI sampling function is used to quickly fit the lift-drag characteristics of aircraft. Combined with the lift-drag data verification test of typical high-speed aircraft shape, the flight performance of the aircraft is evaluated. The simulation results show that under the condition that the average relative error of lift-drag characteristics is not more than 5%, only 22 to 24 CFD solutions are needed to complete the construction of lift-drag characteristics for the speed range of Mach 0 to Mach 6, and the angle of attack range of-4° to 8°.
The influence mechanism of transmission stiffness on mechanical resonance of aircraft rudder servo system
Authors: Xu Zhiwei , Tang Dejia , Xu Dufeng , Fang Li , Fu Yiyong 
Published: February 2025

Abstract
Regarding the mechanical resonance problem caused by the coupling of flexible characteristics and transmission stiffness, this typical problem is faced by aircraft rudder servo systems under the requirement of lightweight design. A model of the aircraft rudder servo system considering flexible coupling links is established, and the influence of transmission stiffness on the open-loop transfer function of the rudder servo system is analyzed. Increasing the transmission stiffness increases both the anti-resonance frequency and the resonance frequency of the rudder servo system, and the system performance changes depending on the change in open-loop gain margin. When the load-motor rotational inertia and product are small, and the resonant frequency is still much lower than the natural frequency of the current loop after increasing the transmission stiffness, the system open-loop gain margin will decrease and mechanical resonance will intensify. When the load-motor rotational inertia and product are relatively large, increasing the transmission stiffness to make the resonant frequency close to or even greater than the natural frequency of the current loop will increase the system’s open-loop gain margin and weaken mechanical resonance. The correctness of the research conclusion was verified through system simulation and experimental validation.
Optimization and simulation of multilevel inventory strategy for repairable aviation materials considering demand forecasting
Authors: Fan Leiyi , Shen Danyang 
Published: February 2025

Abstract
With the support of modern industrial technology, prediction algorithms can provide advance information about spare parts demand, which brings new optimization possibilities for inventory management. In this paper, the multi-level inventory strategy of repairable aviation materials under the demand forecast is studied. The traditional multi-level inventory strategy is modeled by the multi-level inventory control model, which takes the inventory cost minimization as the goal and the inventory satisfaction rate as the constraint. On this basis, the inventory strategy is optimized by considering the pre-demand information of spare parts inventory. Through the simulation and comparative analysis of the traditional multi-stage inventory and optimized inventory strategy of repairable parts of aviation materials, the optimization effect of the optimization inventory strategy of demand prediction is explored under different conditions such as false negative and false positive demand prediction signals. The research shows that the high accuracy and timeliness of demand prediction plays a significant role in reducing inventory cost and reducing inventory shortage.
Experimental study on fireproof properties of aviation cables
Authors: Wu Bin , Liu Xiaojie , Zeng Tai , Su Zhengliang , Xie Fei 
Published: February 2025

Abstract
This study investigates the fire protection capability of Engine Wiring Interconnection System (EWIS) components, focusing on the performance of typical aviation cables under fire conditions. Using an oil burner to simulate fire environments, key parameters such as flame resistance, insulation resistance, and leakage current were monitored. The results show that shielded cables exhibit up to 35% higher leakage currents compared to unshielded cables under identical conditions, indicating a higher propensity for insulation breakdown and short circuits. These findings provide theoretical support for improving fire protection designs in aviation cable components.
A tunable and polarization insensitive wideband THz absorber using a perturbed fractal patterned metasurface augmented with graphene
Authors: Bindai Sayani , Ranwa Sapana , Ghatak Rowdra 
Published: February 2025

Abstract
In this work, a graphene-based perturbed box fractal-patterned metasurface absorber is proposed for terahertz (THz) sensing applications. The broadband metamaterial absorber (MA) is composed of a periodic arrangement of a perturbed box fractal-patterned graphene top layer on a dielectric substrate (Al2O3) with a gold ground layer (Au) to improve the absorptance. The top graphene layer pattern, evolves by perturbing a second iteration box fractal structure, which exhibits an increase in the absorptance bandwidth. The detailed evolution of the top graphene pattern is presented. The wideband THz absorption was optimized by tuning the graphene chemical potential of the designed perturbed box fractal absorber. The absorption spectrum across various polarization conditions indicates that the proposed THz graphene MA structure remains unaffected by changes in polarization and incident angles. The designed absorber exhibits a broadband absorption above 80% in 5.91–8.87 THz frequency range with a 2.96 THz bandwidth and 2.45 THz for more than 90% absorption. The absorbance was also obtained by invoking the interference theory model, with close agreement between the theoretical and simulated results. To illustrate the absorber performance efficacy over the band, a 12 × 12 array was modeled and excited with a plane wave.
EffNet: an efficient one-dimensional convolutional neural networks for efficient classification of long-term ECG fragments
Authors: Ashraf Bilal , Ali Husan , Khan Muhammad Aseer , Albogamy Fahad R 
Published: February 2025

Abstract
Early Diagnosis of Cardiovascular disease (CVD) is essential to prevent a person from death in case of a cardiac arrhythmia. Automated ECG classification is required because manual classification by cardiologists is laborious, time-consuming, and prone to errors. Efficient ECG classification has been an active research problem over the past few decades. Earlier ECG classification techniques didn’t perform satisfactorily with greater accuracy and efficiency. An efficient 12-layer deep One-Dimensional Convolutional Neural Network (1D-CNN) titled EffNet is proposed in this research paper to automatically classify five distinct categories of heartbeats present in ECG signals. A unique collection of five different PhysioNet databases with ECG recordings of five different classes is created to enhance the dataset. These databases are segmented into ECG Fragments (long-term ECG signals of length 10 s) to capture the ECG features between successive beats effectively. These ECG fragments are then concatenated to form a merged dataset. Initially, sampling of the merged dataset is done. The Synthetic Minority Oversampling Technique (SMOTE) is used to balance the dataset. Afterwards, 1D-CNN is employed with different sets of hyperparameters for the efficient classification of the ECG dataset. Classification of ECG of five different classes is also done through two deep Convolutional Neural Networks (CNNs), namely GoogLeNet and SqueezeNet, and Support Vector Machines (SVM). The statistical results obtained proved the dominance of EffNet over the transfer learning techniques (SqueezeNet and GoogLeNet) and SVM. Furthermore, a comparison is also made with the existing literature work carried out for ECG classification, and the statistical results dominated over all others in terms of performance metrics.
Textile hybrid electronics for monolithically multimodal wearable monitoring and therapy
Authors: Luo Huayu , Yang Geng , Jin Ziguan , Cai Zimo , Li Yibo , Lu Yuyao , Wang Jian , Yang Huayong , Zheng Yinfei , Xu Kaichen 
Published: February 2025

Abstract
Textiles with electronic components offer a portable and personalized approach for health monitoring and therapy. However, there is a lack of reliable strategy to integrate layered circuits and high-density chips on or inside textiles, which hinders system-level functionality and untethered user experiences. Herein, we propose monolithically integrated textile hybrid electronics (THE) on a textile platform, with multimodal functions and reliable performances. The textile system encompasses flexible electrodes, laser-induced sensors, and surface-mount devices, along with double-layer circuits interconnecting all of them. Vertical conductive paths are rendered by liquid metal composites infiltrated into textiles, which allows resistances less than 0.1 Ω while reserving intact textile structures. The assembled THE exhibits endurance to handwashing and crumpling, as well as bendability. We customize a wireless textile patch for synchronously tracking multiple physiological indicators during exercise. Furthermore, a textile band is elaborated for monitoring and alleviating muscular fatigue, demonstrating potential in closed-loop diagnosis and treatment.
Electrothermal-responsive flexible actuator of paper-based MWCNTs/PEDOT:PSS composites and PLA using 4D printing
Authors: Wu Mengjie , Wu Ting , Zhang Libing , Tang Xiuwen 
Published: February 2025

Abstract
Based on the traditional additive manufacturing, four-dimensional (4D) printing technology combines structure and shape memory effect (SME), which provides an effective way for the evolution of three-dimensional (3D) printing structure in shape, property and function. However, most of the current researches focus on the influence of printing process parameters on the mechanical properties of parts, and the actuation performance of hybrid conductive polymers is poor. Herein, a method combining 3D printing and coating is proposed to fabricate the electrothermal-responsive three-layer structural flexible actuator of paper-based Poly(3,4-ethylenedioxythiophene)-poly(styrenesulfonate) (PEDOT:PSS) and multi-walled carbon nanotubes (MWCNTs) composites and polylactic acid (PLA) using 4D printing. The paper-based flexible layer is used as the support layer, the PLA layer made by 3D printing on one side of the paper-based layer is used as the active deformation layer, the MWCNTs/PEDOT:PSS conductive layer coated on the other side of the paper-based layer is used as the electrical actuation layer. The 4D deformation principle of the electrothermal-responsive flexible actuator was analyzed. The influence of printing parameters on the deformation angle of the flexible actuator was analyzed by orthogonal experiment. The experimental results show that the optimal printing parameters are the printing thickness of 0.1 mm, the printing speed of 50 mm s−1, the filling rate of 58%, and the substrate temperature of 60 °C. Under the optimal parameters, the fabricated three-layer structural flexible actuator of paper-based PEDOT:PSS/MWCNTs composites and PLA achieves a larger bending angle of 472.54° under a driving voltage of 25 V. Therefore, the prepared flexible actuator has excellent actuation performance. Moreover, the fabricated flexible actuators are applied in the fields of the flexible hand and the flexible manipulator, which demonstrates the great potential of the flexible actuator in the fields of human-computer interaction and flexible robot.
Ruptured infectious intracranial aneurysm related to infective endocarditis: report of a successfully treated case
Authors: Qing Hongkun , Wang Weiteng , Teng Yun , Jimei Chen , Jian Xuhua 
Published: February 2025

Abstract

Background
Intracranial infectious aneurysm (IIA) is a rare but highly dangerous complication of infective endocarditis (IE), associated with a significant risk of rupture, particularly when anticoagulation is involved. Managing IE patients with IIA poses a significant challenge for both cardiac surgeons and neurologists.

Case Summary
We report a complex case of IIA related to IE in a 9-year-old girl with a history of patent ductus arteriosus ligation and aortic valvuloplasty. The patient was admitted for recurrent fever over three months despite irregular antibiotic therapy. Transthoracic echocardiography identified IE with vegetations on the aortic valve, and cerebral magnetic resonance angiography revealed an IIA. The patient experienced a sudden intracranial hemorrhage while awaiting intervention, requiring emergency craniotomy with hematoma removal and aneurysm resection. After four weeks of neurological rehabilitation and antimicrobial therapy, she recovered well without major neurological impairment. However, a recurrent IIA with hemorrhage was detected at the previously operated site. Following a multidisciplinary discussion, a one-stage procedure combining transcatheter aneurysm embolization and mechanical aortic valve replacement was performed successfully. Three years post-discharge, the patient maintained good cardiac and neurological function.

Discussion
Managing IIA in patients with IE poses significant challenges due to the limited availability of high-level evidence. Endovascular therapy presents a promising approach, given its minimally invasive nature and the ability to expedite the initiation of anticoagulation therapy. This strategy could facilitate earlier cardiac surgery and potentially improve outcomes in critically ill patients.