bluuebunny/crossref_metadata_2025_split huggingface dataset:
Efficacy of Vascular Closure Devices in Closing Large-Bore Sheath Arterial Sites after Treatment with Extracorporeal Life Support System
Authors: Pingpoh Clarence , Kondov Stoyan , Schroefel Holger , Kreibich Maximillian , Puiu Paul , Kueri Sami , Berger Tim , Beyersdorf Friedhelm , Siepe Matthias , Czerny Martin 
Published: August 2021

Abstract
Background We retrospectively evaluated vascular complications and wound infections after surgical or percutaneous transfemoral removal of temporary extracorporeal life support systems (ECLSs).
Methods A total of 83 patients were weaned from ECLS between August 2015 and September 2020. We analyzed for a composite endpoint of vascular complications and wound infections requiring negative-pressure wound therapy. Patients were divided into two groups: percutaneous group using the MANTA vascular occlusion system (VCD; Teleflex, Morrisville, North Carolina, United States) (n = 23) and surgical group (n = 60).
Results The median age in the entire cohort was 67 years. Vascular complications were seen in 20% (n = 12) in the surgical group and in 13% (n = 3) in the percutaneous group (p = 0.72). A total of 32% (n = 19) in the surgical group and 9% (n = 2) in the percutaneous group (p = 0.031) had wound infections. A composite endpoint of vascular complications and wound infections showed significantly more complications in the surgical group (52%, n = 31) as compared with the percutaneous group (22%, n = 5) (p = 0.020). The median duration in the intensive care unit was 13 days for the surgical group and 12 days for the percutaneous group without any significant difference in both groups (p = 0.93).
Conclusions Using the MANTA VCD for percutaneous removal of ECLS cannulas after weaning from ECLS is safe and reproducible. A composite endpoint of vascular complications and wound infections was significantly lower in the percutaneous removal group as compared with the surgical group.
Gallbladder: Role of Interventional Radiology
Authors: Antalek Matthew , Riaz Ahsun , Nemcek Albert A. 
Published: August 2021

AbstractPercutaneous cholecystostomy is an established procedure for the management of patients with acute cholecystitis and with significant medical comorbidities that would make laparoscopic cholecystectomy excessively risky. In this review, we will explore the role of percutaneous cholecystostomy in the management of acute cholecystitis as well as other applications in the management of biliary pathology. The indications, grading, technical considerations, and postprocedure management in the setting of acute cholecystitis are discussed. In addition, we will discuss the potential role of percutaneous cholecystostomy in the management of gallstones and biliary strictures, in establishing internal biliary drainage, and in a joint setting with other clinicians such as gastroenterologists in the management of complex biliary pathology.
Percutaneous Biliary Endoscopy
Authors: Khayat Adam , Khayat Mamdouh , Cline Michael , Riaz Ahsun 
Published: August 2021

AbstractBiliary endoscopy is underutilized by interventional radiologists and has the potential to become an effective adjunctive tool to help both diagnose and treat a variety of biliary pathology. This is particularly true in cases where endoscopic retrograde cholangiopancreatography fails or is not feasible due to surgically altered anatomy. Both preoperative clinical and technical procedural factors must be taken into consideration prior to intervention. In this article, clinical evaluation, perioperative management, and procedural techniques for percutaneous biliary endoscopy are reviewed.
Role of Interventional Radiology in Children with Biliary and Gallbladder Diseases
Authors: Yakupovich Anel , Rajeswaran Shankar , Green Jared , Donaldson James S. 
Published: August 2021

AbstractBiliary and gallbladder diseases in infants and children often present unique diagnostic and therapeutic challenges that require a fundamental understanding of notable biliary diseases and anatomical variations. Surgical and endoscopic approaches that are often the gold standard in adult biliary treatment may be technically challenging and are associated with a high morbidity that may warrant a multidisciplinary treatment approach. This article will provide a comprehensive overview of the biliary conditions where interventional radiology can play a vital role in the diagnosis, management, and treatment. Differences in approach or technique between children and adults will be highlighted.
Typology and diachrony of converbs in Indo-Aryan
Authors: Stroński Krzysztof , Kulikov Leonid 
Published: August 2021

Abstract
Non-finite forms constitute an important component of the verbal system of Indo-Aryan (IA) languages. On the one
hand, some of them, such as e.g., converbs, have already received proper attention in historical linguistics and typological
literature, with regard to Old Indo-Aryan (OIA), Middle Indo-Aryan (MIA) and New Indo-Aryan (NIA) (cf. Tikkanen 1987; Peterson 1998; Subbarao 2012 among others). Other forms, such as participles, have usually been analysed in the wider
context of reorganisation of a finite verbal system which led to alignment change (for recent discussion see Dahl and Stroński 2016). On the other hand, adverbial participles or infinitives have so far been
under-studied (cf. Sigorski 2005), particularly within early NIA. This period in the
history of IA languages witnessed several important morphosyntactic developments and still requires in-depth study, particularly
due to the lack of well-edited corpora. The aim of the present paper is to partly fill this gap by highlighting major trends in
the development of constructions based on various non-finite forms in early NIA. We focus on main argument marking in converbal
chain constructions and its interplay with the animacy hierarchy. We demonstrate a relative stability of differential case marking
(DCM), focusing mainly on conditions on differential subject marking (DSM) and differential object marking (DOM). In addition, we
compare converbal chain constructions with participial absolute constructions (AC). Finally, in order to give a holistic view of
converbal constructions, we verify the type of linking instantiated by them, focusing on three scopal parameters in converbal
constructions (Tense, Illocutionary Force and Negation) and using the apparatus of Role and Reference Grammar and Multivariate
Analysis.
The 12‐lead electrocardiogram of the elite female footballer as defined by different interpretation criteria across the competitive season
Authors: Morrison Barbara , Mohammad Aleah , Oxborough David , Somauroo John , Lindsay Sarah , Drane Aimee L. , Shave Rob , George Keith 
Published: August 2021

ABSTRACTPre‐participation screening (PPS), using a 12‐lead electrocardiogram (ECG), is recommended to identify athletes at risk of sudden cardiac death (SCD). ECG interpretation criteria have been developed to address the concern arising from high false‐positives in athletes. There are limited ECG data in elite female footballers. The aims of this study were to (1) compare the ECG outcomes using three published ECG criteria (European Society of Cardiology [ESC], Seattle, International) in elite female footballers and (2) compare ECG data at three different stages of a competitive season. Eighty‐one elite female footballers (21 ± 4 yr) completed a medical assessment, anthropometrics, resting blood pressure and a resting 12‐lead ECG. Each 12‐lead ECG was interpreted in accordance with (1) ESC; (2) Seattle; (3) International Criteria to determine training‐related and non‐training‐related ECG changes. A subset of thirteen (26 ± 4 yr) footballers had repeated resting ECG tests at three time points across the competitive season. Eighty percent of females had training‐related ECG patterns. Sinus bradycardia (65%) and early repolarization (42%) were the most common. Using the ESC Criteria 25% (20/81) of the athletes were considered to have an abnormal ECG, compared to 0% using the Seattle and International Criteria, mainly due to alterations in QT length criteria. There were no clinically significant differences in ECG data across a competitive season. The Seattle and International ECG Criteria significantly reduced the number of ECG false‐positives in elite female footballers and the time point of PPS within a competitive season is unlikely to alter the PPS outcomes.Abbreviations: AMSSM: American Medical Society for Sports Medicine; ANOVA: Analysis of Variance; BSA: Body Surface Area; ECG: Electrocardiogram; ESC: European Society of Cardiology; FA: Football Association; FIFA: The Fédération Internationale de Football Association (FIFA); F‐MARC: FIFA Medical Assessment and Research Centre; LAE: Left atrial enlargement; LVH: Left ventricular hypertrophy; PPS: Pre‐participation screening; SCD: Sudden cardiac death
Influence of a magnetic field on an extreme ultraviolet photon-induced plasma afterglow
Authors: Limpens R , Platier B , Lassise A C , Staps T J A , van Ninhuijs M A W , Luiten O J , Beckers J 
Published: August 2021

Abstract
Understanding extreme ultraviolet (EUV) photon-induced plasma dynamics is key to increasing the lifetime of the new generation of lithography machines. The plasma decay times were determined by means of a non-destructive microwave method, microwave cavity resonance spectroscopy, for unmagnetized and magnetized EUV photon-induced plasma afterglows with the argon pressure ranging from 0.002 to 10 Pa. As a result of an external magnet with a magnetic field strength of (57 ± 1) mT, the plasma decay times were extended by two orders of magnitude. Good agreement was found between these measured plasma decay times and four diffusion models, i.e. the ion acoustic, ambipolar, classical-collision, and Bohm’s diffusion model.
Obtaining a copolymer of polyhexamethylene guanidine hydrochloride and polyvinyl alcohol
Authors: Okladnikova V O , Ochirov O S , Grigor’eva M N , Stelmakh S A , Mognonov D M 
Published: August 2021

Abstract
The possibility of obtaining a polymer gel based on polyhexamethylene guanidine hydrochloride and polyvinyl alcohol under conditions of acid catalysis is considered. It was shown that the use of formaldehyde as a crosslinking agent leads to the formation of methylene bridges between the hydroxyl groups of polyvinyl alcohol and the amino groups of polyhexamethylene guanidine hydrochloride. The study of samples obtained by IR spectroscopy revealed the presence of corresponding signals of functional groups at 2780 cm-1 (isolated methylene group between nitrogen and oxygen atoms) and 1580 cm-1 (characteristic band of the guanidine group).
Evaluating the effectiveness of security systems regime of a hypothetical radiological facility using a risk calculation
Authors: Ansah M N S , Stepanov B P , Amoah P A , Agyekum E B 
Published: August 2021

Abstract
This paper presents how security effectiveness can be measured by considering the cost involved in providing security for a radiological center and measures to improve security through risk analysis. The expansion of nuclear technologies and the possible use of nuclear and radioactive materials continues to grow. This increase comes with potential risk of radioactive materials being used for the wrong reasons; thus it is important to provide physical protection of nuclear related facilities to counter these threats and use atomic energy for peaceful purposes. The effectiveness of the security systems put in place at the facility can be assessed by making analysis of the risks associated to the facility.
High-temperature mechanical properties of preceramic paper-derived Ti3Al(Si)C2composites obtained by spark plasma sintering
Authors: Krotkevich D G , Kashkarov E B , Syrtanov M S , Sedanova E P , Mingazova Y R , Travitzky N 
Published: August 2021

AbstractIn the present work, the flexural strength of Ti3Al(Si)C2-based composites was investigated at 25, 800 and 1000 °C using small punch technique. The composites were spark plasma sintered at 1150 °C and 50 MPa from preceramic paper with Ti3Al(Si)C2powder filler. Sintered composites represent a multi-phase system with secondary TiC and Al2O3phases and have more than 900 MPa of flexural strength at room temperature. It was revealed that at 800 °C the flexural strength of composites decreases to 690 MPa. At 1000 °C, the flexural strength of composites further decreased to 620 MPa, however, an anomalous displacement of punch was detected during the fracture test attributed to the Ti3Al(Si)C2brittle-to-plastic transition of the fracture mechanism.
IoT based system for real-time monitoring the hydrogen-ion activity in water bodies
Authors: Yuzhakov M S , Kazanin V A , Berzin A K , Kuleshov G E , Badin A V , Filchenko D I 
Published: August 2021

Abstract
The paper presents design and principle of operation of a mobile combined pH meter. Sensor’s network underlying the IoT system for monitoring water bodies hydrogen ions activity in real time was demonstrated. The measuring device was tested on liquids with different pH levels. The obtained measurement results were compared using a stationary pH meter OHAUS Starter 3100.
Optimization models of agricultural production with heterogeneous land resources
Authors: Ivanyo Ya , Petrova S , Polkovskaya M 
Published: August 2021

Abstract
The paper identifies information that takes into account the heterogeneity of agricultural land on the basis of the use of a precision farming system and geographic information technologies. The tasks of optimizing the production of agricultural products are formulated, describing the heterogeneity of land resources, for averaged and extreme weather and climatic conditions. These models are implemented for an agricultural enterprise in the Irkutsk region. Two variants of the problem are considered: with deterministic and stochastic parameters. As a random variable, the problem uses the crop yield corresponding to the probability of a drought that occurred in the region in 2015. According to the calculations, the use of various technologies of precision farming, taking into account the heterogeneity of arable land, makes it possible to increase the income of the enterprise, reducing the dispersion of the coefficients included in the optimization model agricultural production. At the same time, it is possible to reduce the risks associated with extreme hydrometeorological events, in particular, with drought
The influence of quartz waste addition on the porosity of cement stone
Authors: Kuznetsova I N 
Published: August 2021

Abstract
The article examines the effect of a nanofiller addition, produced from activated quartz waste, on general porosity of cement stone. It contributes to the uniform distribution of micropores and reduction of the cement stone porosity. This improves the physical and mechanical properties of the cement stone. The porosity of the cement stone reduces by 17%, while its density and strength increases.
A New method of LncRNA classification based on ensemble learning
Authors: Dai Zongrui 
Published: August 2021

Abstract
Long noncoding RNAs (lncRNAs), which have a length longer than 200bp (base pair), participate in various critical biological processes. Moreover, they have many similar features with another kind of RNA - coding RNA, such as long length of transcript and poly-A tail. Therefore, distinguish lncRNA and coding RNA can be one important task in bioinformatics. With the advanced and outstanding ability of machine learning, the computational method provides new insight into lncRNA classification. In this study, two feature selection methods (lasso and PCA) are applied to reduce dimension. 8 differentiated features are extracted, and lasso selection indicates better performance than the PCA method. To achieve an advanced performance of lncRNA classification, one novel ensemble learning based on primary learner and secondary learner is constructed. After comparing different kinds of models, ensemble learning achieves the most outstanding performance in AUC and accuracy within the test dataset (The median of Accuracy=0.950228, AUC=0.979664), which may shed light on the classification of lncRNA.
Prediction of learning behavior characters of MOOC’s data based on time series analysis
Authors: Sun Dezhi , Li Tong , You Fucheng , Hu Man , Li Zhenyu 
Published: August 2021

Abstract
In recent years, big data is used in finance, education, biotechnology, and other fields. In the field of education, thanks to the overall characteristics of big data, it can be applied to understand the objective learning rules of students, to provide effective decision-making suggestions for educators. With the development of electronic communication and media technology, Massive Open Online Courses (MOOC), which contains a large number of user behaviors and information, has gradually become one of the mainstream ways of education. However, MOOC have also been criticized for their high dropout rate. Through the analysis of big data contained in MOOC real data set, it can help teachers master students’ learning rules and learning behaviors in time, which is of great significance to improve the level of education and the dropout rate of MOOC. First, it is helpful for teachers to adjust the course content in time according to the learning status. Second, teachers can carry out benign interventions on students’ learning behavior. In this paper, based on the analysis of the real MOOC data of students’ learning behaviors, we find that different groups of students have the same learning behavior at the same learning period, and students’ learning situations can be divided into three stages. Then ARIMA model is used to predict the learning behaviors of students, to further analyze the factors causing the difference in prediction accuracy, we propose an error analysis method based on MSE. Through the experimental observation, the method proposed in this paper can effectively find and predict the characteristics of students’ learning behavior, to give suggestions for improving the quality of teaching.
Domain Concept Extraction and Ontology Visualization
Authors: Li Xiao-fei 
Published: August 2021

Abstract
A semantic navigation method based on ontology was proposed to solve the problem of digital library information trek. In this paper, the domain concept was extracted based on the knowledge base, linguistics, combined word length ratio, domain correlation and domain consistency.Finally, the domain ontology visualization scheme was put forward, and the related updating technology, wide-angle and aggregation technology were analyzed.The process of using Touch Graph to realize the navigation of ontology visual information was also analyzed.
Evaluating System for Effectiveness of Mask Mandates and the Most Influential Factor in Each State in the U.S.A
Authors: Zhou Chuang 
Published: August 2021

Abstract
Over the past year, the COVID-19 outbreak deeply and thoroughly changed the way the world is, and plenty of people died because of this virus. To control the epidemic, all the state governments in the United States took the mask mandates to ask people to wear masks in public. However, many people doubt if the mask can help them prevent the spread of the virus, and there are few researches about the effectiveness of the mask mandates in each state. To tackle this issue, this paper proposed an evaluating system for the effectiveness of mask mandate in each state in the U.S.A, which can be utilized to analyze whether mask mandates can slow down the spread of the virus. And if the effectiveness of mask mandates is different in different states, this paper will continue to find out which factor can most affect the effectiveness. The experimental results demonstrated that even though the new cases in some states still increased after the mask mandates, it can be seemed that the mask mandates do control the spread of the virus in general. According to the research, the paper can find that the most influential factor to the effectiveness is the infection rate. There are also some secondary factors to the effectiveness of mask mandates. Through these researches, they can analyze the result to develop more effective mandates to control the epidemic and help governments and companies develop new products to fit the needs during the epidemic.
Research on Multi-focal Image Fusion Based on Wavelet Transform
Authors: Zhuo Kong , HaiTao Yang , FengJie Zheng , Yang Li , J Qi , JinYu Wang 
Published: August 2021

Abstract
In recent years, wavelet transform theory has been paid more and more attention in image fusion. With the development of wavelet transform image fusion, wavelet transform is introduced, and the basic principles and types of wavelet transform are introduced. Then, aiming at two images with different focal lengths, the discrete wavelet transform method of three-layer decomposition is used, the low-frequency and high-frequency components are fused by different fusion rules, and the differences of different fusion strategies in wavelet transform image fusion are compared and analyzed. Experimental results show that wavelet transform has the characteristics of convenient application, rapid fusion and real image, and has a good application prospect.
Non-cooperative target clustering algorithm based on clonal selection
Authors: Ying Xu , Xiaogang Pan , Jiongqi Wang , Haiyin Zhou , Yangyang Hou 
Published: August 2021

Abstract
Orderly observation of non-cooperative targets for subsequent identification and control is one of the important prerequisites and key technologies of space on orbit service. Restricted by the limited number of ground observation equipment, the visible time window of each non-cooperative target, and the different types of targets, it is increasingly difficult to observe the transit non-cooperative targets and plan the observation tasks. In this paper, the fuzzy clustering algorithm based on clonal selection is used to cluster the non-cooperative targets which are about to cross the border according to their own characteristics, physical characteristics, geometric characteristics, orbital characteristics and other different attributes. Considering the urgency of the task, the importance and priority of each non-cooperative target relative to the observation task are formed, it can provide effective input for the subsequent task planning of non-cooperative target observation, reduce the problem complexity of orderly observation of non-cooperative target, and improve the efficiency of problem solving.
Research on Flower Image Classification Algorithm Based on Convolutional Neural Network
Authors: Jiantao Zhao , Shumin Chu 
Published: August 2021

Abstract
The fast progress of deep learning makes Convolutional Neural Network (CNN) emerges at the historic moment, and as an important achievement, it has been extensively used in all sorts of fields. Compared with traditional machine learning, CNN has more advantages, on the one hand, it has more hidden layers and complex network structure, and on the other hand, it has a stronger ability of feature learning and feature expression. With the fast progress of computer technology, the application research of fast and accurate recognition and classification of flowers by obtaining flower images through mobile devices has received extensive attention. The flowers images collected under natural conditions have large background interference, and it is difficult to recognize flowers because of their inter-class similarity and intra-class diversity. Therefore, in view of the lack of flower image data and low classification accuracy, t he experi m ent sorted out the data sets of four kinds of flowers, and used the CNN to classify the images. Compared with the traditional approaches, the classification precision can be largely enhanced.