bluuebunny/crossref_metadata_2025_split huggingface dataset:
Reactor Coolant Pump Leakage Estimation of PWR Based on Broad Learning System
Authors: Wang Chong , Liu Jie 
Published: June 2021

Abstract
Loss-of-coolant accident (LOCA) of reactor coolant pump is considered as a critical issue in pressurized water reactor (PWR) accident analysis. Much work focus on the detection of LOCA, while little work has been done on leakage quantity estimation. In this paper, a reactor coolant leakage estimation model is proposed based on broad learning system (BLS) model which takes the advantages of the flatted structure and incremental learning. Considering that larger leakage is more concerned, the BLS model is improved by a weighted loss function. Dropout layer and white noise are added to improve the robustness of the model. This model is designed to estimate the coolant leakage in an online manner with high precision. The proposed model is evaluated on real leakage data of a reactor coolant pump. Experiments show that, with similar accuracy, the proposed model is significantly faster than the state-of-art deep neural networks.
Research on Downhole Plunger Position and Pressure Temperature Detection of Plunger Gas Lift System
Authors: Qiang Yin , Chenggang Yu , Wu Deng , Liangliang Dong , Yu Wang , Kui Li , Mengxue Li 
Published: June 2021

Abstract
Plunger gas lift utilizes the energy of gas production in the formation. By periodically switching on and off the gas well, the plunger moves up and down in the tubing to discharge the bottom hole fluid. The purpose is to reduce the back pressure on the production layer and increase the gas production of the formation. Power, prolong the production life of the gas well. The plunger gas lift detection is the core part of the plunger gas lift system. Adjusting the working status of the downhole plunger through the detection of downhole plunger position, temperature and pressure has important engineering value for improving the oil recovery efficiency of the gas lift process. In order to promote the development of downhole detection systems for gas lift wells in my country and overcome the difficulties of late start and lack of experience, this article focuses on the development status of the detection of plunger gas lift systems.the paper briefly introduce the composition of the plunger gas lift system, analyze the problems of the plunger arrival position detection and temperature and pressure detection in the gas lift detection system, and then analyze the current status of the plunger position monitoring of the plunger gas lift downhole. A review is made, followed by a review of the current status of domestic temperature and pressure monitoring systems for plunger gas lift wells. The review found that the detection of plunger position in my country is still at a relatively weak stage, and direct measurement cannot be achieved; however, there have been breakthroughs in the detection of temperature and pressure, especially in the fields of pressure and temperature detection, storage and wireless transmission. breakthrough. The analysis believes that the detection of downhole parameters of plunger gas lift should be developed in the direction of the integration of well digital control and data acquisition system and digital measure adjustment.
Research on Electronic Devices Suitable for Epidemic Prevention and Control
Authors: Fan Zixu , Duan Bohan , Fu Yuang , Hu Liqiang 
Published: June 2021

Abstract
Facing the normalization of epidemic situation in COVID-19 at present, how to effectively prevent and control the epidemic situation is very important. The traditional face recognition method is short in recognition distance and can’t recognize whether to wear a mask, so it is not suitable for today’s environment of epidemic prevention. In this paper, MLX90614 high precision infrared probe is used. According to the principle that the infrared energy is focused on the photodetector and converted into corresponding electrical signals, using gradient calibration and linear data acquisition method to program, the function of high-precision long-distance contactless body temperature measurement is realized. The face recognition function uses the camera to scan a number of key attributes in the face, uses advanced mathematics to carry out three-dimensional modeling, establishes the curvature, gradient, curl, angle and distance data corresponding to the feature points, and iteratively compares them with the feature values to realize the recognition of the face and whether to wear a mask or not. Finally, K210 intelligent chip is used as the main controller to connect with each part to realize its function, and the actual verification test is carried out, and good results are achieved.
Research on Low Carbon Distribution Supply Chain of Multi-product of Pure Electric Vehicles
Authors: Mingwei Zhang , Rong Chen 
Published: June 2021

Abstract
In view of the issue of carbon emissions generated by vehicles in the distribution link of supply chain, a low carbon supply chain distribution model is established considering collaborative optimization of production scheduling and distribution paths, taking the carbon emissions of pure electric trucks at different speeds under the time-varying network as the key variable. In this model, firstly, it is considering constraints such as product type, customer demand time window, vehicle load rate, loading and unloading time and service time. Secondly, an improved ant colony algorithm, a hybrid algorithm combining simulated annealing algorithm with ant colony algorithm, is proposed to improve the ability of searching and jumping out of local optimum. Finally, through the simulation optimization and comparative analysis of a random numerical example, it is verified that it can effectively reduce carbon emissions in the process of distribution using collaborative optimization model of supply chain production and distribution with minimizing optimization of carbon emissions and total travel time under the time-varying network, and the effectiveness of the algorithm is also verified.
Smooth path generation method of laser cladding bit repair robot based on 3D automatic measurement of wear surface point cloud
Authors: Zheng Chuan , Yang Daoguo , Hao Weidong , Qiao Tieliang , Tan Zhaoquan , Jin Jingsen 
Published: June 2021

Abstract
In the work of repairing worn drill bits by laser cladding robots, the worn surface often presents irregular curved surfaces, which brings difficulties to cladding. Aiming at the generation of cladding path on irregular curved surfaces of worn drill bits, this paper proposes a method of searching interpolation points by equal defocusing. Firstly, perform point cloud slice processing on the 3D model of the worn drill bit. Then the point cloud model is fitted by the cubic B-spline curve. Finally, the proposed method is used to screen out the actual operating processing points of the robotic arm. By comparing the coincidence degree between the actual cladding path and the curved surface, the feasibility of using the method of searching interpolation points by equal defocusing on the fitted path to obtain a smooth path is verified.
UWB ranging error analysis based on TOA mode
Authors: Liu Yawei 
Published: June 2021

Abstract
By analysing the UWB algorithm based on TOA mode and using the least square location algorithm, the original TOA ranging value is processed, and then the UWB ranging experiment is carried out in the non-line-of-sight environment. It can be found that the least square positioning algorithm adopted in this paper improves the accuracy of UWB ranging to a certain extent, by analysing the experimental data. At the same time, the influence of human shielding on UWB ranging is analysed through concrete experiments, and suggestions on improving the accuracy of UWB ranging are provided.
Improving protein fold recognition using triplet network and ensemble deep learning
Authors: Liu Yan , Han Ke , Zhu Yi-Heng , Zhang Ying , Shen Long-Chen , Song Jiangning , Yu Dong-Jun 
Published: June 2021

AbstractProtein fold recognition is a critical step toward protein structure and function prediction, aiming at providing the most likely fold type of the query protein. In recent years, the development of deep learning (DL) technique has led to massive advances in this important field, and accordingly, the sensitivity of protein fold recognition has been dramatically improved. Most DL-based methods take an intermediate bottleneck layer as the feature representation of proteins with new fold types. However, this strategy is indirect, inefficient and conditional on the hypothesis that the bottleneck layer’s representation is assumed as a good representation of proteins with new fold types. To address the above problem, in this work, we develop a new computational framework by combining triplet network and ensemble DL. We first train a DL-based model, termed FoldNet, which employs triplet loss to train the deep convolutional network. FoldNet directly optimizes the protein fold embedding itself, making the proteins with the same fold types be closer to each other than those with different fold types in the new protein embedding space. Subsequently, using the trained FoldNet, we implement a new residue–residue contact-assisted predictor, termed FoldTR, which improves protein fold recognition. Furthermore, we propose a new ensemble DL method, termed FSD_XGBoost, which combines protein fold embedding with the other two discriminative fold-specific features extracted by two DL-based methods SSAfold and DeepFR. The Top 1 sensitivity of FSD_XGBoost increases to 74.8% at the fold level, which is ~9% higher than that of the state-of-the-art method. Together, the results suggest that fold-specific features extracted by different DL methods complement with each other, and their combination can further improve fold recognition at the fold level. The implemented web server of FoldTR and benchmark datasets are publicly available at http://csbio.njust.edu.cn/bioinf/foldtr/.
A Colisée in Paris: grandeur and the decline of the commercialization of leisure (1769–78)
Authors: Synowiecki Jan 
Published: June 2021

Abstract
Vauxhalls and pleasure gardens were emblematic sites of the expansion of the means of consumption and the commercialization of leisure in the eighteenth century. The foundation of the Colisée in Paris in 1769 addressed the desire to rival London, but this risky and costly undertaking, designed to host royal celebrations, challenged traditional monopolies in the entertainment industry. First encouraged by the Crown and political authorities, the establishment of the Colisée was soon characterized by wrongdoing and contentious social relationships that led to the rejection of any form of state control. Building upon largely unpublished sources, and connecting urban and economic history, this article aims to investigate the way in which this affair, which mobilized public opinion, was evidence of a re-articulation between the state, entertainment institutions and leisure companies.
The Genome Assembly and Annotation of the Apollo Butterfly Parnassius apollo, a Flagship Species for Conservation Biology
Authors: Podsiadlowski Lars , Tunström Kalle , Espeland Marianne , Wheat Christopher W 
Published: June 2021

Abstract
Conservation genomics has made dramatic improvements over the past decade, leveraging the power of genomes to infer diverse parameters central to conservation management questions. However, much of this effort has focused upon vertebrate species, despite insects providing similar flagship status with the added benefit of smaller genomes, shorter generation times and extensive historical collections in museums. Here we present the genome of the Apollo butterfly (Parnassius apollo, Papilionidae), an iconic endangered butterfly, which like many species in this genus, needs conservation genomic attention yet lacks a genome. Using 68.7 Gb of long-read data (N50 = 15.2 kb) we assembled a 1.4 Gb genome for the Apollo butterfly, making this the largest sequenced Lepidopteran genome to date. The assembly was highly contiguous (N50 = 7.1 Mb) and complete (97% of Lepidopteran BUSCOs were single-copy and complete) and consisted of 1,707 contigs. Using RNAseq data and Arthropoda proteins, we annotated 28.3K genes. Alignment with the closest-related chromosome-level assembly, Papilio bianor, reveals a highly conserved chromosomal organization, albeit genome size is highly expanded in the Apollo butterfly, due primarily to a dramatic increase in repetitive element content. Using this alignment for superscaffolding places the P. apollo genome in to 31 chromosomal scaffolds, and together with our functional annotation, provides an essential resource for advancing conservation genomics in a flagship species for insect conservation.
Locomotion and Energetics of Divergent Foraging Strategies in Hummingbirds: A Review
Authors: Sargent A J , Groom D J E , Rico-Guevara A 
Published: June 2021

SynopsisHummingbirds have two main foraging strategies: territoriality (defending a patch of flowers) and traplining (foraging over routine circuits of isolated patches). Species are often classified as employing one or the other. Not only have these strategies been inconsistently defined within the behavioral literature, but this simple framework also neglects the substantial evidence for flexible foraging behavior displayed by hummingbirds. Despite these limitations, research on hummingbird foraging has explored the distinct avenues of selection that proponents of either strategy presumably face: trapliners maximizing foraging efficiency, and territorialists favoring speed and maneuverability for resource defense. In earlier studies, these functions were primarily examined through wing disc loading (ratio of body weight to the circular area swept out by the wings, WDL) and predicted hovering costs, with trapliners expected to exhibit lower WDL than territorialists and thus lower hovering costs. While these pioneering models continue to play a role in current research, early studies were constrained by modest technology, and the original expectations regarding WDL have not held up when applied across complex hummingbird assemblages. Current technological advances have allowed for innovative research on the biomechanics/energetics of hummingbird flight, such as allometric scaling relationships (e.g., wing area–flight performance) and the link between high burst lifting performance and territoriality. Providing a predictive framework based on these relationships will allow us to reexamine previous hypotheses, and explore the biomechanical trade-offs to different foraging strategies, which may yield divergent routes of selection for quintessential territoriality and traplining. With a biomechanical and morphofunctional lens, here we examine the locomotor and energetic facets that dictate hummingbird foraging, and provide (a) predictions regarding the behavioral, biomechanical, and morphofunctional associations with territoriality and traplining; and (b) proposed methods of testing them. By pursuing these knowledge gaps, future research could use a variety of traits to help clarify the operational definitions of territoriality and traplining, to better apply them in the field.
The cost of pharmacovigilance: a time and motion study of an adverse drug reaction program
Authors: McLachlan Gina B , Keith Claire , Wood Catherine 
Published: June 2021

Abstract

Objectives
Adverse medication events are associated with a significant number of hospital admissions, and the appropriate recording of these events plays a vital role in medication safety. We set out to analyse the time and extrapolated cost in reporting adverse drug reactions (ADRs).

Methods
A time and motion study of the tasks involved in reviewing, assessing, reporting and communicating ADRs was done over a period of 2 months.

Key findings
We found a median of 69 min was needed in background work per ADR report.

Conclusion
The commitment involved in the support of this program is considerable and will encourage further refinement to streamline the process.
Algebraic Properties of Paraorthomodular Posets
Authors: Chajda Ivan , Fazio Davide , Länger Helmut , Ledda Antonio , Paseka Jan 
Published: June 2021

Abstract
Paraorthomodular posets are bounded partially ordered sets with an antitone involution induced by quantum structures arising from the logico-algebraic approach to quantum mechanics. The aim of the present work is starting a systematic inquiry into paraorthomodular posets theory both from algebraic and order-theoretic perspectives. On the one hand, we show that paraorthomodular posets are amenable of an algebraic treatment by means of a smooth representation in terms of bounded directoids with antitone involution. On the other, we investigate their order-theoretical features in terms of forbidden configurations. Moreover, sufficient and necessary conditions characterizing bounded posets with an antitone involution whose Dedekind–MacNeille completion is paraorthomodular are provided.
Response of mesocarnivores to anthropogenic landscape intensification: activity patterns and guild temporal interactions
Authors: Gálvez Nicolás , Meniconi Paola , Infante José , Bonacic Cristian 
Published: June 2021

AbstractCarnivores face important anthropogenic threats in agricultural areas from habitat loss and fragmentation, disturbance by domestic free-roaming dogs and cats, and direct hunting by humans. Anthropogenic disturbances are shifting the activity patterns of wild animals, likely modifying species interactions. We estimated changes in the activity patterns of the mesocarnivore guild of agricultural landscapes of the La Araucanía region in southern Chile in response to land-use intensification, comparing intra- and interspecific activity patterns at low and high levels of forest cover, fragmentation, and land ownership subdivision. Our focal species comprise the güiña or kod-kod (Leopardus guigna), two fox species (Lycalopex culpaeus and L. griseus), a skunk (Conepatus chinga), and one native mustelid (Galictis cuja), in addition to free-roaming dogs (Canis lupus familiaris) and cats (Felis catus) and their main mammalian prey species (i.e., Rodentia and Lagomorpha). In 23,373 trap nights, we totaled 21,729 independent records of our focal species. Our results show tendencies toward nocturnality at high land-use intensification, with potential impacts on species fitness. Nocturnal mesocarnivores decreased their diurnal/crepuscular activity, while cathemeral activity shifted to nocturnal activity at high land-use intensification, but only when in sympatry with a competitor. High land-use intensification decreased the activity overlap between native and domestic mesocarnivores but increased the overlap between native mesocarnivores. High intensification also reduced overlap with prey species. Notably, foxes displayed peaks of activity opposing those of dogs, and plasticity in activity pattern when in sympatry with dogs, such as strategies to avoid encounters. We stress the need to suppress the free-roaming and unsupervised activity of dogs to mitigate impacts of high land-use intensification on mesocarnivores.
Rubisco substitutions predicted to enhance crop performance through carbon uptake modelling
Authors: Iqbal Wasim A , Miller Isabel G , Moore Rebecca L , Hope Iain J , Cowan-Turner Daniel , Kapralov Maxim V 
Published: June 2021

AbstractImproving the performance of the CO2-fixing enzyme Rubisco is among the targets for increasing crop yields. Here, Earth system model (ESM) representations of canopy C3 and C4 photosynthesis were combined with species-specific Rubisco parameters to quantify the consequences of bioengineering foreign Rubiscos into C3 and C4 crops under field conditions. The ‘two big leaf’ (sunlit/shaded) model for canopy photosynthesis was used together with species-specific Rubisco kinetic parameters including maximum rate (Kcat), Michaelis–Menten constant for CO2 at ambient atmospheric O2 (Kc21%O2), specificity for CO2 to O2 (Sc/o), and associated heat activation (Ha) values. Canopy-scale consequences of replacing native Rubiscos in wheat, maize, and sugar beet with foreign enzymes from 27 species were modelled using data from Ameriflux and Fluxnet databases. Variation among the included Rubisco kinetics differentially affected modelled carbon uptake rates, and Rubiscos from several species of C4 grasses showed the greatest potential of &gt;50% carbon uptake improvement in wheat, and &gt;25% improvement in sugar beet and maize. This study also reaffirms the need for data on fully characterized Rubiscos from more species, and for better parameterization of ‘Vcmax’ and temperature response of ‘Jmax’ in ESMs.
Identification of BASS DR3 sources as stars, galaxies, and quasars by XGBoost
Authors: Li Changhua , Zhang Yanxia , Cui Chenzhou , Fan Dongwei , Zhao Yongheng , Wu Xue-Bing , He Boliang , Xu Yunfei , Li Shanshan , Han Jun , Tao Yihan , Mi Linying , Yang Hanxi , Yang Sisi 
Published: June 2021

ABSTRACT
The Beijing-Arizona Sky Survey (BASS) Data Release 3 (DR3) catalogue was released in 2019, which contains the data from all BASS and the Mosaic z-band Legacy Survey (MzLS) observations during 2015 January and 2019 March, about 200 million sources. We cross-match BASS DR3 with spectral data bases from the Sloan Digital Sky Survey (SDSS) and the Large Sky Area Multi-object Fiber Spectroscopic Telescope (LAMOST) to obtain the spectroscopic classes of known samples. Then, the samples are cross-matched with ALLWISE data base. Based on optical and infrared information of the samples, we use the XGBoost algorithm to construct different classifiers, including binary classification and multiclass classification. The accuracy of these classifiers with the best input patterns is larger than 90.0 per cent. Finally, all selected sources in the BASS DR3 catalogue are classified by these classifiers. The classification label and probabilities for individual sources are assigned by different classifiers. When the predicted results by binary classification are the same as multiclass classification with optical and infrared information, the number of star, galaxy, and quasar candidates is separately 12 375 838 (PS &gt; 0.95), 18 606 073 (PG &gt; 0.95), and 798 928 (PQ &gt; 0.95). For these sources without infrared information, the predicted results can be as a reference. Those candidates may be taken as input catalogue of LAMOST, DESI (Dark Energy Spectroscopic Instrument), or other projects for follow-up observation. The classified result will be of great help and reference for future research of the BASS DR3 sources.