bluuebunny/crossref_metadata_2025_split huggingface dataset:
Constructing the Poet’s ‘Now’: “Deor’s” Modernist Temporalities
Authors: Johnston Andrew James 
Published: March 2022

Abstract
In comparison with other Old English poems, “Deor” is unusual both for its stanzaic structure and its refrain. Furthermore, close to the end of the poem, the narrative voice shifts from one that appears to be comfortably heterodiegetic to a homodiegetic voice giving expression to a deep sense of loss. It is through that sense of loss, the article claims, that we witness the construction of an anguished sense of the ‘Now’. This article investigates the poem’s remarkable narrative, aesthetic and temporal features through the prism of a ‘global modernisms/global modernities’-approach as has been developed in the context of the world literature debate. The central argument unfolding here is that by opening itself up to the notion of an unknown future, “Deor” stages a complex, ‘modern’ entanglement of different temporalities. “Deor’s” specific modernism consists in the way in which it performs aesthetically, through an act of poetry, the mutually constitutive relationality of a past and a radical present.1
Beaumont and Fletcher Rewrite Cervantes: Love’s Pilgrimage, a Farcical Representation of Spain and a Subversion of Jacobean Patriarchy
Authors: González Raquel Serrano 
Published: March 2022

Abstract
Co-authored by the English dramatists Beaumont and Fletcher, Love’s Pilgrimage (c. 1615–1616) is a stage adaptation of Las dos doncellas (The Novel of the Two Maidens) (1613), an exemplary novel penned by the renowned Spanish writer Miguel de Cervantes. Produced at a time when Anglo-Spanish relations were marked by an ambivalent state of religiopolitical hostility and cultural fascination, the play offers a bitterly farcical representation of the perceived ethos and social norms of the source culture. At the same time, it engages with the target culture’s political and ideological matrix, offering – oblique – commentary on the authors’ own society. This article provides a comparative study of both works, to assess both the playwrights’ representation of Spain and their stance on certain political and ideological contingencies that shaped Jacobean England.
islEHR, a model for electronic health records interoperability
Authors: Najjar Arwa , Amro Belal , Macedo Mário 
Published: March 2022

Abstract

Objectives
Due to the diversity, volume, and distribution of ingested data, the majority of current healthcare entities operate independently, increasing the problem of data processing and interchange. The goal of this research is to design, implement, and evaluate an electronic health record (EHR) interoperability solution – prototype – among healthcare organizations, whether these organizations do not have systems that are prepared for data sharing, or organizations that have such systems.

Methods
We established an EHR interoperability prototype model named interoperability smart lane for electronic health record (islEHR), which comprises of three modules: 1) a data fetching APIs for external sharing of patients’ information from participant hospitals; 2) a data integration service, which is the heart of the islEHR that is responsible for extracting, standardizing, and normalizing EHRs data leveraging the fast healthcare interoperability resources (FHIR) and artificial intelligence techniques; 3) a RESTful API that represents the gateway sits between clients and the data integration services.

Results
The prototype of the islEHR was evaluated on a set of unstructured discharge reports. The performance achieved a total time of execution ranging from 0.04 to 84.49 s. While the accuracy reached an F-Score ranging from 1.0 to 0.89.

Conclusions
According to the results achieved, the islEHR prototype can be implemented among different heterogeneous systems regardless of their ability to share data. The prototype was built based on international standards and machine learning techniques that are adopted worldwide. Performance and correctness results showed that islEHR outperforms existing models in its diversity as well as correctness and performance.
Intravenous infusion of the exosomes derived from human umbilical cord mesenchymal stem cells enhance neurological recovery after traumatic brain injury via suppressing the NF-κB pathway
Authors: Zhang Zhen-Wen , Wei Pan , Zhang Gui-Jun , Yan Jing-Xing , Zhang Sai , Liang Jin , Wang Xiao-Li 
Published: March 2022

Abstract
Traumatic brain injury (TBI) is a predominant cause of death and permanent disability globally. In recent years, much emphasis has been laid on treatments for TBI. Increasing evidence suggests that human umbilical cord mesenchymal stem cells (HUCMSCs) can improve neurological repair after TBI. However, the clinical use of HUCMSCs transplantation in TBI has been limited by immunological rejection, ethical issues, and the risk of tumorigenicity. Many studies have shown that HUCMSCs-derived exosomes may be an alternative approach for HUCMSCs transplantation. We hypothesized that exosomes derived from HUCMSCs could inhibit apoptosis after TBI, reduce neuroinflammation, and promote neurogenesis. A rat model of TBI was established to investigate the efficiency of neurological recovery with exosome therapy. We found that exosomes derived from HUCMSCs significantly ameliorated sensorimotor function and spatial learning in rats after TBI. Moreover, HUCMSCs-derived exosomes significantly reduced proinflammatory cytokine expression by suppressing the NF-κB signaling pathway. Furthermore, we found that HUCMSC-derived exosomes inhibited neuronal apoptosis, reduced inflammation, and promoted neuron regeneration in the injured cortex of rats after TBI. These results indicate that HUCMSCs-derived exosomes may be a promising therapeutic strategy for TBI.
Comparison of the regulatory requirements for custom-made medical devices using 3D printing in Europe, the United States, and Australia
Authors: Carl Ann-Kathrin , Hochmann David 
Published: March 2022

Abstract
Additive manufacturing (AM) has continuously grown in recent decades. Enhanced quality, further development of technology, and fall in prices make AM applicable and capable for various industrial applications, also for the manufacture of medical devices. 3D printing offers the possibility for an unprecedented adaptation to the anatomy of each patient, generating medical devices on a case-by-case basis. In many jurisdictions, custom-made devices qualify for an exemption to pre-market approval standards. This regulation is called into question by new technologies, like AM. Therefore, this article compares the current regulatory requirements for custom-made devices in Europe, the United States, and Australia and discusses the impact on 3D printed devices. It concludes that not all jurisdictions have yet adjusted their regulatory framework for custom-made devices to technological advances. Remaining uncertainties must be eliminated in order to help manufacturers comply with the regulatory requirements, emphasizing key aspects of AM.
Interferences in immunoassays: review and practical algorithm
Authors: Wauthier Loris , Plebani Mario , Favresse Julien 
Published: March 2022

Abstract
Immunoassays are currently the methods of choice for the measurement of a large panel of complex and heterogenous molecules owing to full automation, short turnaround time, high specificity and sensitivity. Despite remarkable performances, immunoassays are prone to several types of interferences that may lead to harmful consequences for the patient (e.g., prescription of an inadequate treatment, delayed diagnosis, unnecessary invasive investigations). A systematic search is only performed for some interferences because of its impracticality in clinical laboratories as it would notably impact budget, turnaround time, and human resources. Therefore, a case-by-case approach is generally preferred when facing an aberrant result. Hereby, we review the current knowledge on immunoassay interferences and present an algorithm for interference workup in clinical laboratories, from suspecting their presence to using the appropriate tests to identify them. We propose an approach to rationalize the attitude of laboratory specialists when faced with a potential interference and emphasize the importance of their collaboration with clinicians and manufacturers to ensure future improvements.
Gamma-ray shielding properties of Nd2O3-added iron–boron–phosphate-based composites
Authors: Oruncak Bekir 
Published: March 2022

Abstract
Radiation may be hazardous for human cells when absorbed more than the required dose. Hence, radiation protection processes is required, andthe development of shielding materials are of main concern. Here, the gamma ray shielding properties of iron–boron–phosphate-based composite samples have been studied. The linear attenuation coefficients (LAC, μ, cm−1) and related parameters have been simulated using Phy-X/PSD software for gamma energies in the range of 10−3 to 105 MeV. It was found that the Nd2O3 rate in iron–boron–phosphate-based composites is important in terms of radiation shielding.
Assessment of ship structure under fatigue loading: FE benchmarking and extended performance analysis
Authors: Fajri Aprianur , Prabowo Aditya Rio , Muhayat Nurul 
Published: March 2022

Abstract
This paper presents a numerical procedure based on the finite element (FE) method using ANSYS Workbench software to analyse fatigue phenomena in ship structures. Fatigue failure prediction is used as a stress–life approach, when the stress is still in a linear area. This condition is frequently referred as high-cycle fatigue. Five geometric shapes taken from midship points on the structure of a ship are sampled. There are four types of materials: HSLA SAE 950X, medium-carbon steel, SAE 316L, and SAE 304L. The types of loading imposed on each sample include three conditions: zero-based, zero mean, and ratio. Mesh convergence analysis is conducted to determine the most effective mesh shape and size for analysing the structure. The results showed that the configuration of the geometric shapes, materials used, loading schemes, and mean stress theory affect the fatigue characteristics of the structure.
Construction of a gas condensate field development model
Authors: Skiba Alexander K. 
Published: March 2022

Abstract
This article has developed and verified a mathematical aggregated approximate model of developing a gas condensate field using a cyclic process. The essence of the cyclic process is to pump the drained gas into the productive formation to reduce the pressure drop into the deposit. This process allows for increased condensate recovery in the future. The model discussed in this article is a continuous dynamic system with control parameters. It is a modification of the dynamic aggregated model of a purely gas field, designed for planning for a sufficiently long period with limited information about the state of the reservoir (the initial flow rate of wells, the initial recoverable gas reserves, the initial reservoir pressure, the dependence of potential condensate content per unit volume of fatty gas on the reservoir pressure). A non-standard approach underlies the model construction. Logical simplifications and a priori assumptions about the processes occurring in the field during its development are at its core. The instruments in the model are the increase in production and injection wells and the proportion of injection wells involved in the production. The purpose of the article is to calculate various variants of the dynamics of the fundamental indicators of the development of a gas condensate field for a sufficiently long-term period at the stage of preliminary design.
A model for variation with time of flexiblepavement temperature
Authors: Hilal Miami M. , Fattah Mohammed Y. 
Published: March 2022

Abstract
The bituminous material performance is affected basically by the prevailing temperatures. The mechanical properties of these materials can vary significantly with the changes in the temperature magnitude. Hot mix asphalt (HMA) is a visco-elastoplastic material, so the pavement structural capacity is affected by the temperature variations. To determine the characteristics of the strength of the flexible pavement rationally, the prediction of the distribution of temperature in HMA pavement layers is a must. Heavy loadings subjected to highways and roads can cause serious deterioration to the HMA pavements. In this research, the temperature for three thicknesses of asphalt pavement structure was measured, and the air temperature to predict a model explains the relationship between the temperature and the depth of the pavement structure. The suggested model was successfully validated utilizing the data from three depths of asphalt pavement structure and the temperature on the surface of the asphalt pavement. The developed model consists of two independent variables, which are the depth within the pavement and ambient air temperature. The predicted model will be useful for the pavement designers those in need to predict the temperature of the profile of pavement to determine the engineering characteristics of field pavement.
A machine learning investigation of low-density polylactide batch foams
Authors: Albuquerque Rodrigo Q. , Brütting Christian , Standau Tobias , Ruckdäschel Holger 
Published: March 2022

Abstract
Developing novel foams with tailored properties is a challenge. If properly addressed, efficient screening can potentially accelerate material discovery and reduce material waste, improving sustainability and efficiency in the development phase. In this work, we address this problem using a hybrid experimental and theoretical approach. Machine learning (ML) models were trained to predict the density of polylactide (PLA) foams based on their processing parameters. The final ML ensemble model was a linear combination of gradient boosting, random forest, kernel ridge, and support vector regression models. Comparison of the actual and predicted densities of PLA systems resulted in a mean absolute error of 30 kg·m−3 and a coefficient of determination (R
2) of 0.94. The final ensemble model was then used to explore the ranges of predicted density in the space of processing parameters (temperature, pressure, and time) and to suggest some parameter sets that could lead to low-density PLA foams. The new PLA foams were produced and showed experimental densities in the range of 36–48 kg·m−3, which agreed well with the corresponding predicted values, which ranged between 38 and 54 kg·m−3. The experimental–theoretical procedure described here could be applied to other materials and pave the way to more sustainable and efficient foam development processes.
Experiment and analysis of mechanical properties of carbon fiber composite laminates under impact compression
Authors: Yang Kang , Yang Li , Gong Peng , Zhang Liguo , Yue Yumei , Li Qunfang 
Published: March 2022

Abstract
Composite materials are more and more widely used in aircraft structural design, and impact damage is the most serious defect/damage form of aviation composite structures in service. Therefore, it is of great significance to study the impact resistance of composites with different materials and structural forms for aircraft structural design. In this article, the damage of reinforced fiber/resin composite laminates with unidirectional carbon fiber prepreg (UIN23100), carbon fiber woven fabric (W-3021FF), and carbon fiber-aramid fiber blended fabric (W-38211) under the same impact energy were studied. The impact damage area was scanned and analyzed by ultrasonic C-scan, and the impact resistance of the three laminates were obtained. Finally, the compression bearing capacity of carbon fiber laminates after impact was tested, and the compression failure mode of each material has been analyzed. The results show that the impact resistance of carbon fiber unidirectional prepreg was stronger than that of carbon fiber woven fabric; the compression bearing capacity of carbon fiber laminate after impact was higher than that of carbon fiber unidirectional prepreg; the post impact bearing capacity of W-38211 was higher than that of W-3021FF.
Study on spatio-temporal characteristics of earthquakes in southwest China based on z-value
Authors: Cao Ziyi , Wang Yaxiang , Zhang Heng , Liu Yan , Liu Shan , Yin Lirong , Zheng Wenfeng 
Published: March 2022

Abstract
In this study, earthquakes with magnitudes above 3.0 on the Richter scale in southwest China from 1900 to 2013 are taken as research objects. The spatio-temporal migration characteristics of seismic activity in the area of concern are studied by using geostatistics method to explore the rules of seismic activity. From the perspective of geostatistics and based on z-value, eight major seismic zones in southwest China were studied zone-wise by using the geostatistics tool ArcGIS and the seismic analysis tool ZMAP to explore the spatial and temporal migration characteristics of earthquakes. It was found that each seismic zone had its own quiet period with relatively inactive seismic activity. Simultaneously, through the study of the time-varying characteristics of the seismic belt, it was found that the time-varying regularity of the seismic frequency of the fault belt with the same or related geological structure background is roughly consistent. In conclusion, the seismic activity in southwest China will still be active in the future.
Experimental study on reservoir characteristics and oil-bearing properties of Chang 7 lacustrine oil shale in Yan’an area, China
Authors: Gao Chao , Chen Yiyi , Yin Jintao , Liang Quansheng , Hao Shiyan , Zhang Lixia , Zhao Qianping , Sun Jianbo , Xu Jie 
Published: March 2022

Abstract
The Chang 7 Member shale of the Upper Triassic Yanchang formation in the Ordos basin is a hot spot in petroleum geology research. In this study, considering the Chang 7 shale in the Yan’an area as an example, the full-scale pore size characterization of lacustrine shale was realized based on the scanning electron microscopy image gray correction method, nitrogen and carbon dioxide adsorptions, and high-pressure mercury intrusion tests. In addition, the pore structures and oil-bearing properties of the Chang 7 shale were systematically studied. The results show that the Chang 7 shale is rich in organic matter, with an average total organic carbon value of 4.69% and an average R
0 value of 0.9%. It is in the mature-wet gas (crude oil-associated gas) stage. There are certain differences in the development characteristics and pore size distribution of different types of pores in shale. The statistical results showed that the pore diameters of the intergranular pores and intragranular dissolved pores were significantly larger than the intercrystalline pores of clay minerals and the organic pores. The organic pores in solid bitumen are extremely developed, whereas the organic pores in kerogen are relatively underdeveloped. The lower limit of the effective pore size of shale is 20 nm. The network system composed of inorganic pores-microcracks-organic matter-organic pores and siltstone laminae provides important channels and retention spaces for the migration of shale oil and gas within the source. This study found that the proportion of movable oil in sandy layers is relatively high, followed by shale with sandy laminae, whereas pure shale has the lowest proportion of movable oil. Therefore, the degree of sandy laminar development, the abundance of organic matter, and the degree of thermal evolution are the key geological factors that control the porosity and oil-bearing properties of shale oil reservoirs.
High-precision remote sensing mapping of aeolian sand landforms based on deep learning algorithms
Authors: Du Huishi , Wang Jingfa , Han Cheng 
Published: March 2022

Abstract
It is significant to adopt deep learning algorithms and higher-resolution remote sensing images in mapping large-scale and high-precision of aeolian landform. In this study, the western part of Horqin Sandy Land was taken as the study area. Based on the data collected from 2,786 verification points located in sandy land and remote sensing images of high-spectral and spatial resolution Sentinel-1, Sentinel-2, and GDEM (V3), this article made a research on data of large-scale and high-precision mapping classification of this area between 2015 and 2020 by using convolutional neural network deep learning algorithm. The results showed that the types of aeolian sandy landform in the west of Horqin Sandy Land mainly include longitudinal dune, flat sandy land, mild undulating sand land, nest-shaped land, parabolic dune, barchan dune, and dune chain, with an area of 1735.62, 51.32, 251.38, 902.07, 49.57, and 101.63 km2. Among them, longitudinal dune, barchan dune, and dune chain have the largest area, while parabolic dunes and flat sand land are smaller. Between 2015 and 2020, the area of aeolian landforms was reduced by 89.27 km2 and transformed into an oasis from a desert. This study adopted remote sensing data by high-resolution Sentinel and GDEM (V3) and convolutional neural network deep learning algorithm to map the aeolian landforms effectively. The precision of aeolian landform classification and Kappa coefficient in the western part of Horqin Sandy Land is as high as 95.51% and 0.8961. Combined with Sentinel-1, Sentinel-2, and GDEM (V3), the deep learning algorithm based on the convolution neural network can timely and effectively monitor the changes of sand dunes, which can be used for large-scale aeolian landforms.
On rainbow isosceles 𝑛-simplexes
Authors: Kharazishvili Alexander 
Published: March 2022

Abstract
It is proved that, for certain types of

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(n+1)

-colorings of the Euclidean space

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n

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, there are continuum many “rainbow” isosceles 𝑛-simplexes in

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.
Effect of the weld parameter strategy on mechanical properties of double-sided laser-welded 2195 Al–Li alloy joints with filler wire
Authors: Xv Qihang , Tian Gan , Zhang Wei , Yang Zhengwei , Ming Anbo 
Published: March 2022

Abstract
Compared with single-sided welding, double-sided welding can melt through thicker workpieces and improve the mechanical performance of the weld. In this work, laser welding with filler wire of 2195 Al–Li alloy plates is conducted via double-sided out-of-sync welding. By combining experiment and numerical simulation results, the influence laws of the weld’s mechanical properties are studied by considering the condition of both sides under different welding parameters. The results show that the welding speed is the key parameter determining the heat input of the weld. In the welds fabricated at slow welding speeds, the cooling rate is greater, resulting in accelerated solidification. The weld solidifies before hydrogen overflows from the weld pool, resulting in increased pore density and weakened mechanical properties. Therefore, welding parameters determine the heat input of the weld and subsequently the mechanical properties. It is shown that a special double-sided welding strategy can effectively control the heat input. Specifically, in contrast to those of the first, the welding parameters of the second side of the weld reduce the wire feeding speed when other parameters are held constant. Compared with the process strategy using identical double-sided parameters, this can slightly increase the heat input and reduce the defects in the weld, which can improve its mechanical properties. In the comparative experiment, the wire feeding speed was reduced from 5 to 3 mm·s−1, and the tensile strength of the weld was increased by 10%.