bluuebunny/crossref_metadata_2025_split huggingface dataset:
Modelling, simulating and parameter designing for traction power system with bidirectional converter devices
Authors: Zhang Jian , Liu Wei , Tian Zhongbei , Zhang Hao , Zeng Jiaxin , Qi He 
Published: September 2021

AbstractThe bidirectional converter device (BCD) can substitute the substation rectifier and the energy feedback system (EFS) by transforming energy between the AC side and DC side. However, the performance of the railway system with BCDs as only converters has not been fully understood. A simulation approach is required to evaluate the system performance and guide the design. In this paper, the traction power supply system considering the capacity constraint of BCDs is modelled first, and the AC/DC power calculating algorithm is studied. A three‐layer double‐loop parameter designing strategy based on the enhanced brute force is proposed, which considers the N −1 principle. In the case study, the power source model for trains and power constraint for BCDs are verified. The boundary configuration set is obtained. The capacity of BCDs is at least 7 MW, while the slope is 0 and the no‐load voltage is between 1730 and 1750 V. Finally, compared with the system with rectifiers and EFSs, the system with BCDs has better performance, which is 46.7 V less of the rail potential, 127.8 V less of network voltage fluctuation, and 735.56 kWh per hour more of the feedback energy.
Development and Validation of an HPLC Method for the Analysis of Flowers of Wild-Growing Primula veris from Epirus, Greece
Authors: Chintiroglou Panagiota-Iro , Krigas Nikos , Chatzopoulou Paschalina , Karioti Anastasia 
Published: September 2021

AbstractAn HPLC-PDA method was developed for the determination of the flavonoids in the flowers of Primula veris from Epirus, Greece. The aim was to investigate the chemical content of the over-harvested P. veris populations of Epirus and to develop and optimize an extraction protocol to allow fast, exhaustive, and repeatable extraction. Qualitative analysis revealed that the P. veris flowers from Epirus were particularly rich in flavonoids, especially flavonol triglycosides including derivatives of quercetin, isorhamnetin, and kaempferol. A phytochemical investigation of a 70% hydromethanolic extract from the flowers afforded a new flavonoid, namely, isorhamnetin-3-Ο-β-glucopyranosyl-(1 → 2)-β-glucopyranosyl-(1 → 6)-β-glucopyranoside, which is also the main constituent of the flower extracts. Its structure elucidation was carried out by means of 1D and 2D NMR and mass spectrometry analyses. The HPLC-PDA method was developed and
validated according to the International Council for Harmonisation guidelines. Since the main flavonol glycoside of the plant is not commercially available, rutin was used as a secondary standard and the response correction factor was determined. Finally, the overall method was validated for precision (% relative standard deviation ranging between 1.58 and 4.85) and accuracy at three concentration levels. The recovery ranged between 93.5 and 102.1% with relative standard deviation values < 5%, within the acceptable limits. The developed assay is fast and simple and will allow for the quality control of the herbal drug.
Real-World Experience in Toxicity with Bevacizumab in Indian Cancer Patients
Authors: Patil Pratik P. , Rangaraju Ranga R. , Abbas Waseem , Garg Sunny 
Published: September 2021

Abstract
Background Bevacizumab, a humanized monoclonal antibody, known to block the binding of all known vascular endothelial growth factor-A isomers to their receptors, is used in solid cancers, especially in advanced settings where its role is proven to be stronger than localized stages. Furthermore, various studies have suggested that adding bevacizumab to first-line standard therapy in advanced solid cancers, such as colorectal cancer, lung cancer, ovarian cancer, renal cancer, and breast cancer, significantly prolongs progression-free survival, overall survival, and response rates. However, this ability is limited and variable in cancer subtype. The toxicity profile of bevacizumab is outspread, ranging from mild gastrointestinal side effects, proteinuria to life-threatening hemorrhagic tendency, ischemic thromboembolism, and intestinal perforation. However, it has never been studied in Indian subset of patients till date.
Materials and Methods We performed an institutional retrospective study of 41 patients with a pathologically proven ovarian, colorectal, lung, mesothelioma, melanoma, round cell tumors, and GBMs who received bevacizumab (2.5 mg/kg/week [5 mg/kg every 2 weeks or 7.5 mg/kg every 3 weeks]) with or without chemotherapy, between January 2016 and January 2019 at our center in North India.
Results Forty-one patients, including 12 (29) advanced ovarian cancer, 12 (29) colon cancer, 10 (24) rectal cancer, 1 (2) appendicular cancer, 1 (2) mesothelioma, 1 (2) melanoma, 1 (2) desmoplastic round cell tumor, and 3 (7) GBM, were treated with bevacizumab. The incidence of arterial thrombus and hemorrhage was 2 and 10%, respectively, whereas venous thrombus and fistula were not seen and not related to age. No fatal adverse event was recorded. The global incidence of severe (grade 3/4) arterial hypertension (HTN) was 49%. It was safely managed in all cases, and no grade 4 (life-threatening complication) occurred. The incidence of severe HTN was significantly higher in elderly patients than in younger ones (72 vs. 40%), proteinuria was found to be more frequent in the younger age group as compared with older age group (7 vs. 3%). Also to note, the incidence of congestive heart failure and subacute intestinal obstruction was found in 5% of patients, wherein all four patients belonged to the older subgroup. Furthermore, Grade 3 hypersensitivity reaction was found in one patient in the younger subgroup which warranted immediate termination of bevacizumab.
Is MRI Overutilized for Evaluation of Knee Pain in Veterans?
Authors: Koenig Scott , Morcos George , Gopinath Rohan , Wang Kenneth , Henn Frank , Leong Natalie L. 
Published: September 2021

AbstractMRI is an essential diagnostic imaging modality for many knee conditions; however, it is not indicated in the setting of advanced knee arthritis. Inappropriate MRI imaging adds to health care costs and may delay definitive management for many patients. The primary purpose of this study was to ascertain the frequency of inappropriate MRI scans performed at one Veterans' Administration Medical Center (VAMC). We performed a retrospective chart review of all knee MRIs ordered over a 6-month period. Inappropriate MRI was defined as MRI performed prior to radiographs (XRs), or in the presence of XRs demonstrating severe osteoarthritis, without leading to a nonarthroplasty procedure of the knee. Of the 304 cases reviewed, 36.8% (112) of the MRIs were deemed inappropriate, 33 were ordered by orthopedists, and 79 were ordered by other health care providers. Of the 33 ordered by orthopedists, 25 were ordered by retired/nonsurgical orthopedists. Obtaining an MRI delayed care by an average of 29.2 days. Of the 252 cases that had XR prior to MRI, none included all four views in the standard knee XR series and only four had weightbearing images. Over a third of knee MRIs performed at this VAMC were inappropriate and delayed care. Additionally, no XRs in our study contained all the necessary views to properly assess knee arthritis. These concerning findings signify a potential opportunity for education in diagnostic strategies, to better patient care and resource utilization in the VAMC.
Structural tuning of nonlinear terahertz metamaterials using broadside coupled split ring resonators
Authors: Keiser George R. , Karl Nicholas , Ul Haque Sheikh Rubaiat , Brener Igal , Mittleman Daniel M. , Averitt Richard D. 
Published: September 2021

We present an experimental and numerical study of a terahertz metamaterial with a nonlinear response that is controllable via the relative structural arrangement of two stacked split ring resonator arrays. The first array is fabricated on an n-doped GaAs substrate, and the second array is fabricated vertically above the first using a polyimide spacer layer. Due to GaAs carrier dynamics, the on-resonance terahertz transmission at 0.4 THz varies in a nonlinear manner with incident terahertz power. The second resonator layer dampens this nonlinear response. In samples where the two layers are aligned, the resonance disappears, and the total nonlinear modulation of the on-resonance transmission decreases. The nonlinear modulation is restored in samples where an alignment offset is imposed between the two resonator arrays. Structurally tunable metamaterials and metasurfaces can therefore act as a design template for tunable nonlinear THz devices by controlling the coupling of confined electric fields to nonlinear phenomena in a complex material substrate or inclusion.
3D-printed B4C collimation for neutron pressure cells
Authors: Haberl Bianca , Molaison Jamie J. , Frontzek Matthias , Novak Eric C. , Granroth Garrett E. , Goldsby Desarae , Anderson David C. , Elliott Amy M. 
Published: September 2021

A design for an incident-beam collimator for the Paris–Edinburgh pressure cell is described here. This design can be fabricated from reaction-bonded B4C but also through fast turnaround, inexpensive 3D-printing. 3D-printing thereby also offers the opportunity of composite collimators whereby the tip closest to the sample can exhibit even better neutronic characteristics. Here, we characterize four such collimators: one from reaction-bonded B4C, one 3D-printed and fully infiltrated with cyanoacrylate, a glue, one with a glue-free tip, and one with a tip made from enriched 10B4C. The collimators are evaluated on the Spallation Neutrons and Pressure Diffractometer of the Spallation Neutron Source and the Wide-Angle Neutron Diffractometer at the High Flux Isotope Reactor, both at Oak Ridge National Laboratory. This work clearly shows that 3D-printed collimators perform well and also that composite collimators improve performance even further. Beyond use in the Paris–Edinburgh cell, these findings also open new avenues for collimator designs as clearly more complex shapes are possible through 3D printing. An example of such is shown here with a collimator made for single-crystal samples measured inside a diamond anvil cell. These developments are expected to be highly advantageous for future experimentation in high pressure and other extreme environments and even for the design and deployment of new neutron scattering instruments.
An improved peak-selection algorithm using block-based recurrence Cholesky decomposition for mesh deformation
Authors: Liu Jing , Fang Hong , Shan Fanli , Li Shu , Zhang He 
Published: September 2021

An improved peak-selection algorithm is proposed for mesh deformation. With the use of the newly derived block-based recurrence Cholesky (BRC) decomposition scheme, the computational complexity for solving the linear algebraic system in the data reducing procedure is reduced from O(Nc4/Np) to O(Nc3), where Nc denotes the total number of support nodes and Np denotes the number of support nodes added at a time. Because the BRC decomposition scheme introduces block matrices, it involves more multiplications between matrices rather than between vectors. Due to the fact that the computation of matrix multiplication is more efficient with the use of the linear algebraic library, the efficiency for solving the linear algebraic system can be further increased. Two deformation problems are applied to validate the algorithm. The results show that it significantly increases the efficiency for solving the linear algebraic system, allowing the time consumption of this process to be reduced to only one sixth. Moreover, the efficiency will increase with the mesh scale. The results also show that it allows the efficiency of the data reducing procedure to improve by two times. Furthermore, it is found that only 1.094 s in total is required to solve the linear algebraic system with serial computing by constructing a set of as many as 2999 support nodes in a large-scale mesh deformation problem. It is indicated that the bottleneck of mesh deformation caused by inefficient parallel computing for solving the linear algebraic system can thus be removed. This makes the algorithm favorable for large-scale engineering applications.
Controllable Schottky barriers by ferroelectric switching in graphene/In2Te3 heterostructures
Authors: Jing Tao , Liang Dongmei , Huang Xincheng , Deng Mingsen , Cai Shaohong , Liu Wenjiang 
Published: September 2021

Abstract
Van der Waals (vdWs) heterostructures have attracted significant research attention due to their tunable electronic structures and potential for device applications. In this study, the interfacial properties of graphene/In2Te3 heterostructures are systematically explored by employing first principles calculations. It is revealed that the electronic structures of graphene and In2Te3 monolayer are well preserved upon contact. The transition between the n-type Ohmic and p-type Schottky contacts can be realized for the graphene/In2Te3 heterostructures by switching the polarity of In2Te3. The findings reported in this study are not only vital for basic theoretical research, but also provide a feasible strategy to control the Schottky barriers for vdWs heterostructures.
Thermo-physical Properties of TiO2-SiO2 Hybrid Nanofluids Dispersion with Water/Bio-glycol Mixture
Authors: Zainon S N M , Azmi W H , Hamisa A H 
Published: September 2021

Abstract
Introducing nanoparticles in liquid-based mixtures began to gain attention in various industries. This is supported by previous studies to improve the performance and provide energy saving for the system. Among its uses is in the VCRS and automotive air conditioning (AAC) system. The lubricant used in this system has the potential to have a good effect on the performance. Before testing the nano-lubricant enhancement performance, an automotive air conditioning (AAC) system test rig based on hybrid electric vehicles (HEV) AC system has to be developed; therefore, this paper presented the development process of AAC test rig specific for the HEV. In order to analyze the performance, 11 thermocouples, digital pressure gauges with the data logger, and AC/DC power clamp were assembled and used. After that, the experiment was conducted with five different initial refrigerant charges and three different compressor speeds. This method was applied to both pure POE lubricant and SiO2/POE nano-lubricant. Then, the heat absorbs, compressor work, and coefficient of performance (COP) were evaluated. The highest average COP for SiO2/POE nano-lubricant was achieved at a 40 % duty cycle (2520 RPM) speed with a value of 2.84. The highest enhancement of the COP is 25.1% at 60% duty cycle (3180 RPM) speed with 160 grams of initial refrigerant charged an average enhancement of the COP is 13.16%.
Improved 3D fully convolutional network based on squeeze-excitation method for liver segmentation
Authors: Xia Xiaoling , Hao Nana 
Published: September 2021

Abstract
Due to the variable shape and size of the liver in abdominal CT and the complex surrounding tissues, accurate liver segmentation in CT remains a challenge. In the field of two-dimensional image analysis, the squeeze-excitation (SE) method effectively adjusts the input feature information. Our work is based on SE method to obtain feature information that is more relevant to the liver region through improved feature recalibration methods. This work adds the MSCR block, which can do space and channel feature recalibration, to 3D full convolution network. The 3D space part of the MSCR block re-calibrates the feature of liver voxel space. And in the channel recalibration part, it changes the original spatial compression operation according to the none-local method, so the spatial sampling results contain more global context information. Multiple metrics are used to evaluate the proposed model on the LiTS dataset, and it achieves better segmentation performance than other comparison models such as Attention U-Net. The method is further tested on the 3DIRCADb dataset, which proves its effectiveness and stability. Thus, the model proposed in the paper is effective for improving the performance of liver segmentation.
Behavior anomaly detection based on big data analysis of Internet of Things
Authors: Yang Jinliang , Lan Xuan , Huang Liansheng , Zeng Jigang 
Published: September 2021

AbstractThe technical requirements of behavior anomaly detection are higher and higher. Using the Internet of things technology combined with a variety of big data analysis algorithms, we can achieve accurate behavior anomaly detection by classifying behavior data sets to a large extent. In this paper, PLA - PRF (parallel random forest) algorithm is used to realize the behavior anomaly detection model of Internet of things integrating big data analysis. In behavior detection, the PRF algorithm and DFS algorithm are compared in the case of a different number of decision trees. The results show that, compared with DRF algorithm, PLA-PRF, SPARK MLRF(Spark Machine Learning Random Forests) and PRF algorithm perform better on the four datasets, with kappa values increased by about 3.13%, 2.56% and 1.98% respectively. In contrast, PLA-PRF algorithm has higher accuracy in the case of a small sample size. With the increase of sample size, the accuracy of behavior anomaly detection gradually decreases; because the algorithm is in subspace in the process of construction, some high pheromone features are abandoned, which makes the new spatial information of features insufficient, resulting in the decision tree training process does not learn the inherent laws of abandoned data. Compared with spark MLRF and DRF, PLA-PRF has a faster execution speed in large data sets, and with the increase of data volume, the advantage is more prominent. This is because PLA-PRF uses data reuse strategy "DRS" in the process of parallelization, which reduces the data communication overhead in a distributed environment and improves the parallelization efficiency of the algorithm.
Establishing an electronic invoice management platform based on information system
Authors: Liu Lele , Wang Bingjie , He Xiangjun , Wang Juan , Zheng Yongfeng , Yan Yongbing 
Published: September 2021

Abstract
In order to meet the needs of power supply enterprise marketing business to issue e-invoice, realize the online issuance and control of VAT e-invoice, a unified e-invoice management platform is established. Through the construction of e-invoice service application platform as a data transmission channel, and upgrading the VAT invoice system, the invoice data can be uploaded to the tax bureau system in real time, thus realizing the transformation of power supply enterprises from paper invoice to e-invoice. Electronic invoice is different from the previous paper invoice. It can transmit and save the contents of the invoice through digital media, which reduces the management cost of paper documents, facilitates the users to save and use the invoice, and improves the service level of power supply enterprises. The practice shows that the system runs reliably and achieves good application effect and economic benefit in 27 local power companies.
Practice and research of computer-aided medical translation based on big data
Authors: Guo Zikai , Chen Chen 
Published: September 2021

Abstract
Medical translation significantly influences medical teaching and medical communication, so high-quality medical translation plays an important role in promoting medical development and innovation. Based on the big data era background, this paper studies the practical effects of computer-assisted translation in medical translation. This article first introduces the relevant computer-assisted translation tools in the era of big data, then introduces the innovations and shortcomings of machine translation in the field of translation, and then explains the characteristics of medical translation. In addition, it also analyzes the application of computer-assisted translation in medical translation. Finally, the medical translation effects of machine translation, traditional translation, and computer-aided translation are compared through experiments. The results show that the accuracy rate of machine translation is 67.5%, the accuracy conventional translation rate is 95.4%, and the accuracy rate of computer-aided translation is 87.3%.
Optimal modeling analysis and intelligent calculation of a class of stochastic signal systems
Authors: Xiao Xiaonan 
Published: September 2021

Abstract
Information flow optimization is very important for decision-making problems in various fields. Using an innovative method of information decision-making optimization, this paper makes a thorough study and analysis of the optimization modeling and intelligent calculation of a kind of stochastic signal system in science and technology by using the big data analysis method. Thus, it provides an ideal decision-making analysis method for effectively realizing the information optimization and processing of such problems.
Construction and verification of the emerging engineering talents evaluation model based on fuzzy mathematics theory
Authors: Zhang Ze , Li Chunjiang , Ma Xiaojun , Liu Desheng 
Published: September 2021

Abstract
In view of the present situation of cultivating innovation and entrepreneurship ability of engineering talents in local colleges and universities, it is necessary to perfect the evaluation mechanism of emerging engineering talents cultivation, and design the evaluation standard system of supporting the conditions of innovation and entrepreneurship education for college students. Based on the evaluation standard, the Fuzzy Analytic Hierarchy Process (FAHP) theory is used to establish the mathematical model and evaluation model of the evaluation system of college students' innovation and entrepreneurship education condition support under the emerging engineering background. The results show that the established model has universality, accuracy and practicability, and provides technical support for the evaluation of emerging engineering talents, so as to form a closed loop of quality engineering, constantly improve the quality of emerging engineering talents cultivation, and provide talent support for national and regional innovation-driven development.