bluuebunny/crossref_metadata_2025_split huggingface dataset:
A method for calculating left ventricular ejection fraction non-invasively from left ventricular arterial coupling (Ees/Ea)
Authors: Yamazaki Yukiko , Matsuki Yuka , Shigemi Kenji 
Published: April 2023

Abstract
Background: Ejection fraction (EF) is a standard method of evaluating of cardiac function.
EF is useful to monitor cardiac function and circular management during general anesthesia, but it is impossible to calculating EF using ultrasonography continuously and non-invasively.
The aim of our study is development of the method to estimate EF non-invasively from left ventricular arterial coupling (Ees/Ea).
Methods: Ees/Ea can be estimated non-invasively from pre-ejection period (PEP), ejection time (ET), end-systolic pressure (Pes) and diastolic pressure (Pad). These parameters were calculated from a vascular screening system, VeSera 1000/1500(Fukuda Denshi Co., Ltd., Tokyo, Japan). The left ventricular efficiency (Eff) as a pump, is defined as the ratio of external work (EW) to myocardial oxygen consumption, as strongly correlated to pressure-volume area (PVA). Eff can be calculated from Ees/Ea, and EF(EFeff) was approximated from Eff. We measured EF using transthoracic echocardiography, and compared it with EFeff.
Results: The study included 44 healthy adults (36 males, 8 femals). EFecho was 66±5 %, EFeff was 57±9 %. There was a positive correlation between EF and EFeff (R2 = 0.219, p < 0.05 ). Result of Bland-Altman analysis, the limits of agreement were – 7.5 to 24.4 %, the PE was 24%.
Conclusion: The results suggest that EF can be measured non-invasively using left ventricular arterial coupling.
QuickAware: A Virtual reality tool for Quick Clay Landslide Hazard Awareness
Authors: Alene Gebray Habtu , Depina Ivan , Thakur Vikas , Perkis Andrew , Bruland Oddbjørn 
Published: April 2023

Abstract
In recent years, the area of application of Virtual Reality (VR) has grown tremendously from the entertainment industry to the military, to mental health, to hazard identification training, and to our daily lives. VR has been widely employed in hazard identification and prevention, safety training, evacuation, search and rescue, and damage identification of hazards. This paper investigates the application of VR for raising awareness about quick clay landslide hazard. Quick clay landslides are geological hazards that are often triggered suddenly, are difficult to forecast, and often result in disastrous consequences. Currently, hazard and risk maps are used to communicate quick clay landslide risk to the public. However, these maps are mostly expert specific, and they may not appear convenient to communicate natural hazards such as quick clay landslides to the public. VR technology can be used to further enhance the communication of landslide risk to the public by developing simulations that can raise awareness about, among others, landslide initiation signs, preventive measures, safety training, and actions that can increase safety of individuals in a hazard event. To narrow this communication gap, we developed a tool, QuickAware, that can help in improving awareness of quick clay risk using a VR application. The development process of the tool started with a co design approach where stakeholder experts were brought to collaborate in setting up VR scenarios and defining the VR environment contents. The contents were then conceptualized and translated into VR experience. The usability of the VR application was examined by conducting a survey with 16 participants. The results of the survey indicated that the tool has a promising value in improving awareness creation for quick clay landslide hazard.
Circuit Change during Extracorporeal Membrane Oxygenation: Single-Center Retrospective Study of 44 Changes
Authors: Genty Thibaut , Burguburu Stanislas , Imbert Audrey , Roman Calypso , Camille Wirth , Thès Jacques , Stéphan François 
Published: April 2023

Abstract
Background: Bleeding and thrombosis induce major morbidity and mortality in patients under extracorporeal membrane oxygenator (ECMO). Circuit changes can be performed for oxygenation membrane thrombosis but are not recommended for bleeding under ECMO. The objective of this study was to evaluate the course of clinical, laboratory, and transfusion parameters before and after ECMO circuit changes warranted by bleeding or thrombosis.
Methods: In this single-center, retrospective, cohort study, clinical parameters (bleeding syndrome, hemostatic procedures, oxygenation parameters, red-cell transfusion) and laboratory parameters (platelet count, hemoglobin, fibrinogen, PaO2) were collected over the seven days surrounding the circuit change.
Results: In the 274 patients on ECMO from January 2017 to August 2020, 44 circuit changes were performed in 40 patients, including 32 for bleeding and 12 for thrombosis. Mortality was similar in the patients with vs. without changes (17/40, 43% vs. 103/234, 44%) and in those with bleeding vs. thrombosis (12/32, 43% vs. 5/12, 42%, P=0.94). In patients with bleeding, numbers of bleeding events, hemostatic procedures, and red-blood-cell transfusions were significantly higher before vs. after the change (P<0.001); the platelet counts and fibrinogen levels decreased progressively before, and increased significantly after, the change. In patients with oxygenator thrombosis, no significant differences were demonstrated between oxygenation parameters (ventilator FiO2, ECMO FiO2, and PaO2) and ECMO flow before vs. after the change.
Conclusions: In patients with bleeding, changing the ECMO circuit decreased clinical bleeding and red-blood-cell transfusion needs and increased platelets and fibrinogen levels. Oxygenation parameters did not change significantly in the group with thrombosis.
In vitro and in vivo evaluation of alginate hydrogel-based wound dressing loaded with green chemistry cerium oxide nanoparticles
Authors: Zhao Ran , Zhao Chenyuyao , Wan Yi , Wang Yibing 
Published: April 2023

Abstract
Interactive wound dressings have shown promising results in promoting the wound healing process. In the present study, we tried to fabricate interactive/bioactive nanocomposite wound dressing with potent antioxidant properties. We fabricated cerium oxide nanoparticles using curcumin as the reducing and capping agent. SEM, EDX, DLS, Zetasizer, FTIR, and XRD were applied to characterize the green-synthesized cerium oxide nanoparticles. The synthesized nanoparticles were incorporated into alginate hydrogel and the microstructure, porosity, and swelling state of the fabricated wound dressing were evaluated. The characterizations revealed the physical and chemical properties of the green-synthesized cerium oxide nanoparticles and the incorporated alginate hydrogel-based wound dressing. The in vitro studies showed that the alginate hydrogel-based wound dressing exhibited acceptable antioxidant activities and were hemocompatible and biocompatible. The animal studies (rat full-thickness skin wound model) showed that the alginate hydrogel-based wound dressing were able to promote the wound healing process. The results indicated that the alginate hydrogel-based wound dressing can be applied as effective wound dressing/healing materials.
Python Java Joint Implementation of Internet based Public Opinion Information Collection
Authors: Liu Hongyan , Liu Zhenyu , Sun Dan , Liu Yandong 
Published: April 2023

Abstract
Nowadays, with the rapid development of the Internet era, the network, as a new media form, has spread rapidly in daily news reports and public opinions, and has also penetrated into today's social life. Compared with real life, people's opinions on the Internet are more active. Major or popular events are often discussed quickly by network users, forming public opinion. Many people want to express their ideas and opinions through the Internet, and some of them will forward and follow up relevant information, but also cause huge public opinion pressure on relevant departments and the speech itself, even to unpredictable results. Therefore, this paper uses Python Java technology to establish a network public opinion information collection system. This system is mainly based on the current popular UML modeling tools, and uses this technology as much as possible in all subsequent descriptions by analyzing some cases and scenarios. The test results show that MySQL's read performance is about 30 times higher than that of Lucene based files when persistence is required and the read performance is guaranteed, which further demonstrates the efficiency of the system. This article has made remarkable achievements in the collection of public opinion and relevant information by constantly optimizing the Python Java technology on the Internet.
Improving the rate of diabetic wound healing using dielectric barrier discharge
Authors: El-Hossary F. M. , Badr Gamal , lashein Fakhr El-din M. , Metawa A.E. , Khalaf Mohamed , Gebril Sahar M. 
Published: April 2023

Abstract
Cold atmospheric plasma (CAP) in the air has been applied to improve the rate of diabetic wound healing in streptozotocin (STZ)-induced diabetic mice. The mice were classified into control, diabetic, and two experimental groups treated with CAP. Wounds were treated with CAP once per day for each experimental group for 10 and 20 sec for 15 consecutive days. The rate of wound healing in the group of diabetic mice that have been treated for 10 sec was higher compared to the group of treated diabetics for 20 sec and the control. Histological analyzes of control and plasma-treated for 10 sec revealed epidermal formation, cell proliferation, and improve inflammation earlier as compared to both the diabetic and the treated diabetic for 20 sec. Concomitantly, recovered cytokines (TNFα, CTGF) were relatively similar to the control during the healing period in 10 sec treated group as compared to the diabetic one. Our study confirmed the efficacy of CAP for medical plasma therapies.
Visualization system of martial arts training action based on artificial intelligence algorithm
Authors: Hui Bowen 
Published: April 2023

Abstract
At present, there are many educational methods in the field of Chinese martial arts education, and various types of teaching institutions such as private martial arts schools, national sports institutes, and general institutions of higher learning have been formed. However, the proportion of such groups who choose to receive professional martial arts education is very small compared to the population development base of China's entire higher martial arts education. The main reason is that martial arts training activities must be standardized and professional, and it is difficult to practice effectively in a home environment. Therefore, this paper develops a visualization system of martial arts training movements based on artificial intelligence system. Firstly, the theoretical basis of skeletal point extraction feature and posture quaternion in martial arts, the visualization of martial arts movements based on expression quaternions and the classification model of martial arts movements based on LSTM are introduced. For the human action visualization part, we use the Ogre rendering engine to display human actions and provide a data interface to control the movement of the virtual 3D human model. Then the paper introduced the visualization system design of martial arts training movements, including: system architecture design, system function analysis, visualization module design. Finally, the system is disassembled through the test environment and evaluation indicators, action recognition effect analysis, and system visualization impact analysis, and the application effect of the system is introduced in detail. I hope it can help more people inherit and develop traditional sports and carry forward the spirit of martial arts. so that Wushu, a national traditional activity, can be better spread and popularized. This paper studies the artificial intelligence algorithm and applies it to the design process of martial arts training action visualization system, thus promoting the development of martial arts teaching.
A Method for Measuring the Non-Smoothness of Time Series Data: Dirichlet Mean Energy Function
Authors: Wang Lianchao , Chen Yijin , Song Wenhui , Xu Hanghang 
Published: April 2023

Abstract
This paper proposes an effective method for measuring the non-smoothness of time series data: Dirichlet mean energy function. The method expresses the time series data as an n-dimensional vector based on its own properties, and then abstracts the time series model as a chain graph model based on directed graph theory. The incidence matrix of the time series data is established based on the constructed chain graph model, and the Dirichlet mean energy function is defined in the form of matrix function. The Dirichlet mean energy function can quantitatively express the non-smoothness of time series data. The contribution of this paper is to proposes an effective mathematical tool for measuring the non-smoothness of time series data based on graph theory and matrix theory. In future work, we will further validate the validity of this tool in more application areas and extend this method to high-dimensional time series data.
Association between intimate partner violence and child nutrition status in Rwanda: Findings from recent Rwanda Demographic and Health Survey 2019/20
Authors: Izabayo Josias , Bahati Claire , Niyonsenga Japhet , Gashugi Yves , Munezero Pascaline , Gitibwa Siméon Sebatukura , Uwambaye Peace , Sezibera Vincent 
Published: April 2023

Abstract

Background Despite significant socio-economic progress and a decade of interventions aimed at improving nutrition, malnutrition remains a significant problem among children under the age of five in Rwanda. While several studies have been conducted to identify important risk factors for malnutrition in Rwanda, none have specifically assessed the association between intimate partner violence (IPV) and child nutritional status. Therefore, this study aimed to examine the association between women's exposure to IPV and the nutritional status of their children in Rwanda.Methods The study analyzed secondary data from the Rwanda Demographic and Health Survey 2019–20 (RDHS 2019/20). Data was gathered on women's emotional, physical, and sexual IPV experiences, as well as demographic and socioeconomic characteristics. Furthermore, their children’s birth outcomes were included as mediating factors. To determine the association between IPV exposure and child nutrition status, we used a series of binary logistic regression models. A total of 2,965 children, ages 6 to 59 months, born to women between the ages of 15 and 49 were studied.Results This study found that approximately 36%, 33.8%, and 14.6% of women in partnerships experienced physical, emotional, and sexual IPV, respectively. The prevalence of stunting among their children was 31.4%, and 7% were underweight. The crude analysis showed that women's experiences of sexual (OR = 1.63, 95%CI = 1.19–2.25) and emotional (OR = 1.29, 95%CI = 1.01–1.65) IPV were associated with an increased likelihood of their children being stunted, while only sexual IPV was associated with underweight (OR = 1.77, 95%CI = 1.05–2.99). Even after controlling for birth outcome variables, the association between sexual IPV, and stunting (OR = 1.55, 95%CI = 1.06–2.28) and underweight (OR = 1.99, 95%CI = 1.13–3.56) remained significant. In the full model, after controlling for sociodemographic factors and birth outcome variables, sexual IPV was found to be associated with an increased risk of child stunting (OR = 1.39, 95%CI = 1.03–2.17) but not significantly associated with underweight.Conclusion Women's experience of intimate partner violence is associated with an increased likelihood of their children's malnutrition status. Therefore, prospective interventions should suppress violence against women to reduce the burden of IPV and childhood malnutrition.
Primary cilium of Prrx1+ cells mediate bone-tendon interface development by regulating cell biology
Authors: Guan Changbiao , Xiao Han , Chen Yang , Wang Linfeng , Jin Yuxin , Zhang Tao , Wu Bing , Lin Ziyang , Lu Hongbin , Sun Deyi , Zhou Yongchun 
Published: April 2023

Abstract
Background
Bone-tendon interface (BTI) is a typical fibrocartilaginous insertion consisting of continuous yet functionally graded structure. However, the underlying mechanism of enthesis formation is poorly understood. It was reported that primary cilia sense changes in the microenvironment of the BTI undergoing mechanical stimulation to regulate repairing. The objective of this study is to investigate how primary cilia mediate the enthesis formation.
Methods
Mice at different ages were used for tracing the spatiotemporal distribution of Prrx1+ cells. Cilium were knocked out at 1, 2, 4, and 6 weeks after birth, and the specimens were harvested at 12 weeks to analyze the effect of cilia deletion on the fate of Prrx1+ cells. Histological analysis and microcomputed tomography were utilized to evaluate the formation of BTI. In vitro, Prrx1+ cells were isolated by cell sorting. The expression level of IFT88 protein was knocked down by shRNA, and it was applied to explore the effect of cilia disruption on the proliferation and differentiation of Prrx1+ cells. NVP-LDE225 was used to diminish the expression levels of the Hedgehog (Hh) signaling pathway, which was performed to understand the effect of Hh signaling pathway on the differentiation capacity of Prrx1+ cells.
Results
Prrx1+ cells participate in the formation of BTI, and in the early postnatal development, Prrx1+ cells are abundant at the BTI. In the late development, Prrx1+ cells gradually decreased in number until disappeared. Locally at the BTI, knockout of cilia may attenuate the chondrogenic differentiation capacity of Prrx1+ cells. Conditional knockout of cilia in the early development is not conducive to BTI formation, and few are in the middle and late stages. In vitro, the knockdown of IFT88 by shRNA could diminish the proliferation and differentiation ability of Prrx1+ cells. At the same time, inhibiting the Hh signaling pathway also diminish the differentiation ability of Prrx1+ cells. The mentioned results suggested that primary cilia may regulate the biological function of Prrx1+ cells via the Hh signaling pathway localized in itself.
Conclusions
Primary cilia mediate the biological function of Prrx1+ cells to modulate further BTI formation via the Hh signaling pathway.
Improvement in detecting and localizing intracranial hemorrhage lesions using the active learning concept and probabilistic CAM heatmap
Authors: Saiviroonporn Pairash , Chiewvit Pipat , Tritrakarn Siri-On , Pittayakanchit Weerapat , Chomphuphun Ananya , Songsaeng Dittapong , Siriapisith Thanogchai , Tongdee Trongtum 
Published: April 2023

Abstract
Background
Intracranial hemorrhage (ICH) treatment requires a prompt diagnosis based on a CT scan evaluation by a radiologist. Manually analyzing the images is complex and time-consuming. Deep-learning techniques have been successfully applied to assist radiologists with this task. We further improved the detection and localization of ICH lesions without subtype classification using the active learning concept and the Probabilistic CAM (PCAM) heatmap.
Methods
The train set of the second stage 2019-RSNA ICH data set was randomly separated into the train (712,803 slices), validate (20,000), and test (20,000) data sets and interpolated from 512 into 256, 1024, and 2048 image resolutions. All resolutions were scaled to RGB channels according to their subdural, brain, and bone windows and used in a DenseNet-121 2D-CNN classifier with the PCAM technique for localization using ICH labels. The point closest-to-(0,1) corner approach was used to find a cutoff point of the training data set on each image resolution and applied the cutoff value to the validate and test data sets to calculate performance metrics. Two neuroradiologists reevaluated the mismatched data between the RSNA labels and prediction outcomes on the test data set and reassigned labels when the evaluations agreed with the prediction outcomes. Both radiologists also evaluated the usefulness of the PCAM heatmap to localize ICH lesions into three categories: not useful (Poor), functional (Acceptable), and valuable (Good) grades. The improvement in ICH detection after reassigned RSNA labels was measured by AUROC and AUPRC. McNemar’s test determined whether image resolution would have a similar detection outcome with a significant level at P < 0.05.
Results
The study found that detecting ICH at 512 and 1024 resolutions gave a comparable performance and was significantly higher than at 256 and 2048 resolutions. However, their AUROC and AUPRC were still in the same range of 0.98 and 0.93, respectively. After reevaluation, 55% (471 from 859 FP) and 51% (114 from 225 FN) of the test data set were relabeled. Furthermore, using the same cutoff value, the AUROC and AUPRC can be increased by 1.1% (0.984 vs. 0.995) and 5.3% (0.932 vs. 0.981), respectively. The PCAM heatmaps obtained a Good grade of around 86%, 37% and 0% at 2048, 1024, and 512 resolutions, respectively.
Conclusion
Image resolution has a minor effect on altering the ICH detection performance, while reassessing the RSNA labels can significantly improve the performance. PCAM heatmaps can better localize the boundary regions of the ICH lesion at higher resolutions, with the best result in 2048.
An Estimation Algorithm of Doppler Frequency for LEO Satellite Signals under Low SNR and Large Frequency Offset
Authors: Shi Lei , Yao Bo , Liu Yanfei , Li Xiaoping , Yang Jun 
Published: April 2023

Abstract
Accurate frequency offset estimation is the key to correct receiving of low-Earth-orbit (LEO) satellite signals. Under the circumstances of low signal-to-noise ratio (SNR) and large frequency offset, conventional estimation algorithms for frequency offset are limited by their estimation range and/or SNR threshold, for which reason the estimation accuracy cannot achieve the ideal error probability. Based on joint iterative method, this study proposes an improved joint estimation algorithm for frequency offset. Specifically, the coarse estimation stage takes advantage of the wide estimation range of M&M algorithm, thereby enlarging the estimation range of the proposed algorithm while improving the estimation accuracy of the M&M algorithm through conducting iterative estimation. The fine estimation stage integrates the high estimation accuracy of L&R algorithm to capture the residual frequency offset after accomplishing the coarse estimation, reducing the estimation error within low SNR region while lowering the SNR threshold of the proposed algorithm. The simulation results suggest that the proposed algorithm outperforms the commonly used conventional ones in estimating the frequency offset of LEO satellite signals with wide estimation range and low SNR threshold.