bluuebunny/crossref_metadata_2025_split huggingface dataset:
A New Approach to High Value Conversion of Phosphogypsum from Phosphate Rock to Catalyst for Glycerol Carbonate Synthesis
Authors: Wang Y S , Wang Y X , Tang M Z , Yang G , Sun Y 
Published: March 2021

Abstract
This paper reports a new process of using phosphate rock as the precursor to prepare a high performance catalyst for glycerol carbonate synthesis. The reported technical route will create a new opportunity to synthesis the active chemical intermediate that can be used for energy generation. Three important preparation parameters were investigated to find out both singular and binary effects upon the statistical significances of prepared glycerol carbonate conversion using response surface methodology (RSM) approach. The optimal condition with the goal of maximizing the glycerol carbonate was set and achieved. The obtained catalyst prepared at the optimal condition was characterized. The proposed process offers a rosy prospect for high value conversion of colossal by-product phosphogypsum generated from phosphorous acid manufacturing industry.
A Parameter Sensitivity Study of Solid Oxide Fuel Cells Based on One-dimensional Model
Authors: Liu H K , Xu X H 
Published: March 2021

Abstract
Solid oxide fuel cells (SOFCs) are promising and efficient energy conversion devices. The modeling method was widely used to study characteristics of SOFCs due to limitation of experiments. Values of material properties such as porosity, tortuosity and pore radius are required information in modeling. Current modeling works usually employ material properties used in the literature, which are not exactly measured and the values vary in wide ranges. However, inappropriate selection of material properties can result in incorrect modeling results of SOFCs. In this study, a one-dimensional model of SOFCs was established to analyze the effects of different material parameters on the modeling results. A parameter sensitivity analysis was also conducted to determine the most influential parameters on the polarization curve. The results provide a reference for selection values of SOFC material parameters. This work can also be used as a guideline to fit the experimental polarization curve in numerical simulations by adjusting appropriate material parameters.
DC Fault Ride-Through Strategy Based on Overmodulation
Authors: Cui M , Li K J , Liu Z J , Li L Z 
Published: March 2021

Abstract
The hybrid modular multilevel converter (hybrid MMC) can realize DC fault ride-through based on the capability of overmodulation and can continue to output reactive power to AC side during the fault, which can speed up the recovery of DC grid power after the fault is cleared. This paper improves the control strategy of DC fault ride-through. During the bipolar short circuit on the DC side, hybrid MMC blocks the short-circuit current of the DC side by adjusting the reference value of DC voltage dynamically. Moreover, the average value of the sub-modules is introduced into the active current controller to maintain the balance of the sub-module voltage. Then, the performance of the improved strategy is verified by MATLAB/Simulink simulation model.
Pointwise Mass Conservative Least Squares Isogeometric Analysis for Stokes Problem
Authors: Chen D X , Geng M F 
Published: March 2021

Abstract
Conventional least squares finite element method for incompressible flow does not enforce mass conservation in pointwise, i.e. the velocity field is not exactly divergence free. In this paper, we present a pointwise mass conservative least squares isogeometric analysis for the Stokes problem. The method utilizes high order smooth basis functions generated from non-uniform rational B-spline (NURBS). Pointwise divergence free velocity field is defined using stream function on each patch of computational domain. Velocity boundary conditions and cross patch continuity are enforced in least square sense. Numerical results are presented for flow past a large circular cylinder in a channel and flow over a backward facing step. The results show improvements on local and global mass conservation.
On-Line Optimization of Microgrid Operating Cost Based on Deep Reinforcement Learning
Authors: Lin S H , Yu H H , Chen H W 
Published: March 2021

Abstract
In view of the microgrid random optimization scheduling problem, this paper proposes a microgrid online optimization algorithm based on deep reinforcement learning. By using the approximate state-action value function of the deep neural network, the action of the battery is discretized into the decision variables output by the neural network, and then the remaining decision variables are solved by nonlinear programming and the immediate return is calculated. The optimal strategy is obtained by using the Q-learning algorithm. In order to make the neural network adapt to the randomness of wind, photovoltaic and load power, according to the wind, photovoltaic and load power prediction curves as well as wind, photovoltaic and load prediction errors, Monte Carlo sampling was used to generate multiple sets of training curves to train the neural network. After the training is completed, the weight is fixed and the real-time action value of the battery is output according to the real-time status of the microgrid, so as to realize the online optimal dispatching of the microgrid. Compared with day-ahead optimization results under different fluctuations of wind, photovoltaic and load power, the effectiveness and superiority of this algorithm in online optimization of microgrid are verified.
Effects of MnSO4 on grain output, protein and Mn content of quinoa strains (Chenopodium quinoa Willd.)
Authors: Cheng Weishun , Huang Xiang , Luo Xi , Wang Suping , Jiang Li , Du Lei , Zhang Guiyou , Zhang Lihong , Hong Juan , Gang Chen 
Published: March 2021

Abstract
Quinoa is a new crop with great potential in the world. Micronutrients are vital components for balances both growth and development in plants. An experiment was designed for the sake of researching the impacts of MnSO4 on output and quality parameters of Quinoa strains in Wuhan. Four repetitions stochastic complete block design is used for the partition layout. Major zones were MnSO4 (contains 28% pure manganese) (2, 4 and 6 g·m−2), and sub-zones were Quinoa cultivars (L-1, L-2 and L-3). The meaningful influence of MnSO4 on the number of fertile ears, the amount of seeds in each ear, the weight of a thousand seeds, grain output, the contents of proteins and manganese in grain. The significant influence of cultivar on number of fertile ears, the weight of a thousand grains, grain output and protein content. The highest values of fertile ear, amount of grain, the weight of a thousand grains, harvest index, grain output, the contents of grain proteins and Mn were achieved in applying 6 g MnSO4 per m2. In addition, the highest amount of fertile ears, amount of grains per ear, grain harvest and grain manganese content were related to“L-3”cultivar. The results show that cultivation of“L-3”cultivar and application of 6 g MnSO4 per m2 is recommended for Wuhan.
Research progress on analysis methods of procyanidins
Authors: Shi Lei , Wang Jiangwang , Lv Yunkai 
Published: March 2021

Abstract
Procyanidins (PC for short) is a very complex secondary metabolite of plant polyphenols, rich in grape skins, seeds, apples, hawthorn, tea and other plants. Studies have shown that the intake of procyanidins can regulate cell apoptosis through its anti-oxidation effect, and play a role in maintaining body health, delaying aging and preventing diseases. However, there is no unified standard for detection and quantitative analysis methods so far, making the separation, purification, and characterization of such products always be a technical problem that plagues market quality evaluation. Therefore, this article summarizes and summarizes PC analysis methods, including spectrophotometry, high performance liquid chromatography and other analysis methods.
Study on the mechanism of the active ingredient of Strychni Semen on nervous system based on network pharmacology and molecular docking
Authors: Liu Yun-Feng , Shen Xin-Gang , Qiu Zhao-Zhi , Guan Yong-Mei , Huang Shi-Yu , Wu Lu , Zhu Wei-Feng , Chen Li-Hua 
Published: March 2021

Abstract
To explore the potential targets and mechanism of Strychni Semen in the nervous system through network pharmacology and molecular docking, in this study, TCMSP, PubChem, and Swiss Target Prediction databases were used to screen the active ingredients and targets of Strychni Semen; related targets of the nervous system were screen out through GeneCards and OMIM databases; the common targets of the two were input into the STRING online analysis platform to construct potential protein interactions (PPI) network. The Cytoscape 3.7.2 software was used to construct a “component-target” network diagram; then the Metascape platform was used to perform GO and KEGG enrichment analysis on its core targets; and the core target was verified by molecular docking with the active ingredient of Strychni semen. In the results, the screening in Strychni Semen with OB ≥ 30% and DL ≥ 0.18% as the threshold values obtained a total of 15 active ingredients and corresponding 384 potential targets; searched for diseases with “neurological” as keywords, 34769 related targets were mapped to potential drug targets, and 61 common targets were obtained; 74 nodes and 173 edges were read in the “component-target” network diagram; enriched in GO and KEGG A total of 11 signal pathways with significant differences were obtained in the analysis; molecular docking showed that the compounds in Strychni Semen have high binding energy to key proteins of the nervous system. In conclusion, the study initially explored the potential mechanism of Strychni Semen’s multi-pathway and multi-target action on the nervous system, providing scientific basis for the clinical application and in-depth research of the decoction piece.
A safe radio frequency identification system (RFID) authentication protocol for Internet of Things
Authors: Du Zhiguo , Wen Bin , Wu Zhihui , Su Ruijia , Liu Wenzi 
Published: March 2021

Abstract
Internet of Things (IoT) is the evolution of related technologies and applications such as Internet and mobile networks. Agriculture, as the source of food, is one of the key areas for the application of the IoT technology, and it is also the field with the most urgent, difficult and integrated characteristics of the IoT application. Future research into IoT will focus on generic technology, information security, and critical applications. Based on IoT, the existing Radio frequency identification system (RFID) security mechanisms are analyzed, with a focus on cryptographic protocols. Investigate the weaknesses or flaws in these protocols, and then a theoretical model and method to design and analyze RFID protocols within the provable security framework is discussed. A mutual authentication protocol of RFID system using synchronized secret information is put forward.
Removal of Escherichia coli from ballast water via high-gradient magnetic separation
Authors: Lu Zheng , Guo Fuqiao , Zhang Kun , Guan Di , Shi Yue 
Published: March 2021

Abstract
Ship ballast water is a prominent medium for the growth of several foreign species. This study aimed to develop a high-gradient magnetic separation (HGMS)-based method to eliminate Escherichia coli and the mechanism underlying E. coli death, per regulation D-2 of the Ballast Water Convention. A novel wheat straw magnetic seed characterized by good flocculation performance, cost-effectiveness, and environmental friendliness was prepared via chemical implantation. The HGMS system using this wheat straw magnetic seed had a significantly higher total suspended solid (TSS) removal rate and E. coli removal rate than a system comprising Fe3O4 (MP) + polyaluminium chloride (PAC) + polyacrylamide (PAM). A hydraulic retention time of 60 s, these rates were increased by 18.5% and 0.15log, respectively. Furthermore, with an increase in magnetic field strength, the E. coli removal rate continued to increase, and Escherichia coli cells were markedly damaged. Lipid peroxide MDA levels increased rapidly over a short period, and a large volume of K+ leaked out, eventually leading to cell death. The present HGMS system using wheat straw magnetic seeds is a novel ballast water pretreatment system with good potential applications.
Collaborative legislation on the control of toxic and harmful substances in drinking water resources of Yangtze River Delta
Authors: Gao Zhi-Gang 
Published: March 2021

Abstract
With the determination of China’s Yangtze River Delta integration development strategy, the importance of cross regional drinking water resources protection has become increasingly prominent. At present, there are still many problems in the practice of legislative collaborative protection. In this paper, the Yangtze River Delta as a flora, through the analysis of the current water quality of the mainstream and lakes in the middle and lower reaches of the Yangtze River, on the basis of listing the cross regional water resources collaborative protection, find out the needs of legislative coordination, and further clarify the mechanism, mode selection, process and way of regional legislative cooperation in the Yangtze River Delta. This study is of great significance to promote the rational allocation and sharing of water resources and improve the quality of regional comprehensive development.
Research on the path of the prevention and control of toxic and harmful substances in take-out food for college students
Authors: Lu Wei 
Published: March 2021

Abstract
The paper expounds the existing circumstances of take-out food for college students, analyzes the classification and input channels of toxic and harmful substances in university takeout and puts forward that the market supervision department and the online catering service platform should strengthen the cooperation in food safety supervision. In addition, there is no doubt that catering merchants and take-out distribution companies should create a good environment of production and distribution. Similarly, colleges and universities should pay attention to do a good job in propaganda and education of laws and regulations on take-out food safety for college students, forming a system to protect the take-out food safety for college students.
A study on the microstructural evolution and subgrain size dependent constitutive equation of a type of maraging steel in the solid solution treatment process
Authors: Zhu Y Z , Zhao T Y , Huang H , Peng H , Hu F W , Yin S Y 
Published: March 2021

Abstract
00Cr12Ni9Mo4Cu2 is an ultra- high strength, maraging stainless steel. Optical microscopy, microhardness measurement, scanning electron microscopy (SEM), and transmission electronic microscopy (TEM) were used to quantitatively investigate the effect of the solid solution parameters on the grain size and the secondary phases of the steel. It was found that the grain size increased from 8.5 um to 28 um when the solid solution temperature was increased from 960 °C to 1040 °C. Meanwhile, the strength of the alloy increased from 822 MPa to 1054 MPa. However, when the temperature was increased from 1040 °C to 1100 °C, the grain size rose dramatically to 55 um, and the strength of the alloy decreased from 1054 MPa to 782 MPa. Most of the original carbides were dissolved when the solid solution temperature increased up to 1040 °C. Finally, a constitutive equation based on the evolution of the subgrain size is proposed, clarifying the relationship between the mechanical properties and microstructures.
Exotic Psyllids and Exotic Hosts: Accumulation of Nonnative Psylloidea in North America (Hemiptera)
Authors: Horton David R , Miliczky Eugene , Waters Timothy D , Burckhardt Daniel , Halbert Susan E 
Published: March 2021

AbstractThe Psylloidea (Hemiptera) comprise ~4,000 species of small sap-feeding insects known as psyllids or jumping plant-lice. We summarize species composition of the nonnative psyllid fauna in North America and review detection records, current distributions, host use, life histories, and geographical sources. Forty-six species are considered to be nonnative accounting for ~10% of the known North American psyllid fauna. The family Psyllidae is overrepresented in the pool of exotics (52% of exotic species) relative to global psyllid diversity, whereas Triozidae (at 11% of exotic species) is underrepresented. Records of initial detection range from the 1832 detection of a European pear psyllid to the 2016 detection of a Ficus specialist from Asia. Many species exhibit discontinuous distributions in North America presumably caused by multiple introductions or by secondary spread of established populations. Host plants of nonnative species are almost exclusively trees and shrubs. The factor most correlated with introduction is presence of hosts from the psyllid’s native region. Virtually all host plants in North America have been imported intentionally for human-related use, with initial importation beginning in the 1500s and 1600s. Arrival of host plants in North America often preceded psyllid detection or arrival by decades or centuries. There has been almost no spillover by psyllids onto native plant species reflecting the narrow host range of Psylloidea. A glaring exception is the recent damaging colonization of a native Fraxinus closely related to the psyllid’s European Fraxinus host. Biological and geographical traits correlated with arrival and establishment of nonnative psyllids have shifted through time. Temperate Europe was the source of the earliest arriving species, with initial detection records primarily in New England and eastern Canada. In contrast, recent arrivals are mostly Myrtaceae- and Fabaceae-feeding species from the Neotropics or Australia, with detection records limited mostly to Florida or California. Early-arriving, temperate zone species exhibit a formal winter diapause while recent arrivals from the Neotropics and Australia appear to reproduce more-or-less continuously.
KCRR: a nonlinear machine learning with a modified genomic similarity matrix improved the genomic prediction efficiency
Authors: An Bingxing , Liang Mang , Chang Tianpeng , Duan Xinghai , Du Lili , Xu Lingyang , Zhang Lupei , Gao Xue , Li Junya , Gao Huijiang 
Published: March 2021

AbstractNowadays, advances in high-throughput sequencing benefit the increasing application of genomic prediction (GP) in breeding programs. In this research, we designed a Cosine kernel–based KRR named KCRR to perform GP. This paper assessed the prediction accuracies of 12 traits with various heritability and genetic architectures from four populations using the genomic best linear unbiased prediction (GBLUP), BayesB, support vector regression (SVR), and KCRR. On the whole, KCRR performed stably for all traits of multiple species, indicating that the hypothesis of KCRR had the potential to be adapted to a wide range of genetic architectures. Moreover, we defined a modified genomic similarity matrix named Cosine similarity matrix (CS matrix). The results indicated that the accuracies between GBLUP_kinship and GBLUP_CS almost unanimously for all traits, but the computing efficiency has increased by an average of 20 times. Our research will be a significant promising strategy in future GP.
KEC: unique sequence search by K-mer exclusion
Authors: Beran Pavel , Stehlíková Dagmar , Cohen Stephen P , Čurn Vladislav 
Published: March 2021

Abstract

Summary
Searching for amino acid or nucleic acid sequences unique to one organism may be challenging depending on size of the available datasets. K-mer elimination by cross-reference (KEC) allows users to quickly and easily find unique sequences by providing target and non-target sequences. Due to its speed, it can be used for datasets of genomic size and can be run on desktop or laptop computers with modest specifications.

Availability and implementation
KEC is freely available for non-commercial purposes. Source code and executable binary files compiled for Linux, Mac and Windows can be downloaded from https://github.com/berybox/KEC.

Supplementary information
Supplementary data are available at Bioinformatics online.
Who is the best coach of all time? A network-based assessment of the career performance of professional sports coaches
Authors: Erkol Şirag , Radicchi Filippo 
Published: March 2021

Abstract
We consider two large datasets consisting of all games played among top-tier European soccer clubs in the last $60$ years, and among professional American basketball teams in the past $70$ years. We leverage game data to build networks of pairwise interactions between the head coaches of the teams and measure their career performance in terms of PageRank centrality. We identify Arsène Wenger, Sir Alex Ferguson, Jupp Heynckes, Carlo Ancelotti and José Mourinho as the top $5$ European soccer coaches of all time. In American basketball, the first $5$ positions of the all-time ranking are occupied by Red Auerbach, Gregg Popovich, Phil Jackson, Don Nelson and Lenny Wilkens. We further establish rankings by decade and season. We develop a simple methodology to monitor performance throughout a coach’s career, and to dynamically compare the performance of two or more coaches at a given time. The manuscript is accompanied by the website coachscore.luddy.indiana.edu where complete results of our analysis are accessible to the interested readers.
The Crown Pearl: a draft genome assembly of the European freshwater pearl musselMargaritifera margaritifera(Linnaeus, 1758)
Authors: Gomes-dos-Santos André , Lopes-Lima Manuel , Machado André M , Marcos Ramos António , Usié Ana , Bolotov Ivan N , Vikhrev Ilya V , Breton Sophie , Castro L Filipe C , da Fonseca Rute R , Geist Juergen , Österling Martin E , Prié Vincent , Teixeira Amílcar , Gan Han Ming , Simakov Oleg , Froufe Elsa 
Published: March 2021

AbstractSince historical times, the inherent human fascination with pearls turned the freshwater pearl mussel Margaritifera margaritifera (Linnaeus, 1758) into a highly valuable cultural and economic resource. Although pearl harvesting in M. margaritifera is nowadays residual, other human threats have aggravated the species conservation status, especially in Europe. This mussel presents a myriad of rare biological features, e.g. high longevity coupled with low senescence and Doubly Uniparental Inheritance of mitochondrial DNA, for which the underlying molecular mechanisms are poorly known. Here, the first draft genome assembly of M. margaritifera was produced using a combination of Illumina Paired-end and Mate-pair approaches. The genome assembly was 2.4 Gb long, possessing 105,185 scaffolds and a scaffold N50 length of 288,726 bp. The ab initio gene prediction allowed the identification of 35,119 protein-coding genes. This genome represents an essential resource for studying this species’ unique biological and evolutionary features and ultimately will help to develop new tools to promote its conservation.