bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Survey of Knowledge Reasoning based on KG
Authors: Lu Rui , Cai Zhiping , Zhao Shan 
Published: August 2019

AbstractKnowledge Reasoning(KR) has become the core issue in the field of Artificial Intelligence(AI) and even Natural Language Processing(NLP). KR based on Knowledge Graph(KG) is based on existing KG’s facts. It uses some inference models and algorithms to infer new unknown knowledge and targets at improving the completeness and accuracy of KG. This article presents a brief overview of KR based on KG, expounds the connotation and research scope of it, judges the two main research directions(Knowledge Graph Completion(KGC) and Question Answering over Knowledge Graph (QA-KG)) of current KR and summarizes the four main technical methods. A series of latest results of current research on KR are also listed in this paper. Finally, we look forward to the future improvement of KR.
Pinball loss based extreme learning machines
Authors: Wang Kuaini , Ding Xiaoshuai 
Published: August 2019

Abstract
Extreme Learning Machine (ELM) is a novel machine learning method by training single hidden layer feedforward neural network. It employs squared loss function to minimize the mean squares error, which is sensitive to noises and outliers. In this paper, pinball loss function with quantile error is introduced into ELM in order to improve the robustness of ELM. An ELM model based on squared pinball loss function (SPELM) and an ELM model based on pinball loss function (PELM) are proposed. The corresponding optimization problem are solved by iterative reweighted algorithm. Three simulated datasets and nine Benchmark datasets are used to verify the validity of the proposed models. It is concluded that the proposed SPELM and PELM are superior to other comparisons, especially for datasets containing larger proportion of outliers.
Fast algorithm for infrared transmittance in marine environment
Authors: Zhong-wei Chen 
Published: August 2019

Abstract
Because Modtran software is not convenient to connect with other software programs, a fast algorithm for infrared transmittance in marine environment was established. The relevant meteorological parameters were obtained by actually measuring the marine environment of a certain sea area. The suitable parameters of Modtran to calculate the infrared transmittance of 3~5μm and 8~12μm at different distances were selected. Using the exponential function relationship, this paper constructed a fast algorithm in 3~5μm and 8~12μm infrared transmittance of marine environment. The comparison between the fast algorithm and the Modtran calculation shows that the maximum error of the 3~5μm infrared transmittance calculation method is only 2.16%, and the maximum error of 8~12μm is 0.16%. The formula of the fast algorithm has high precision and can meet the requirements of fast calculation of infrared radiation transmittance.
Research on Electric Heating Shielding and Sunlight Visualization of LCD Display Based on Machine Vision
Authors: Wei Chen 
Published: August 2019

Abstract
Due to the widespread popularity of interactive electronic products, the requirement for flat panel display becomes higher and higher, so the visibility of display screen becomes particularly important. Therefore, based on machine vision, the author studies the electric heating shielding of LCD and the visibility in sunlight. The results show that high brightness is the only way for airborne LCD to be visible under direct sunlight, especially in open cockpit. Machine vision, as an advanced automated inspection technology in the field of information science and technology, can improve production efficiency and industrial manufacturing. Improves the contrast of the display in strong sunlight, enabling the LCD to be visible in the sun. At the same time, the production yield is improved, the quality is more stable, and the reliability is higher, which enhances the competitiveness of the liquid crystal display in the fields of high-end and outdoor.
A Hybrid Intelligent Directional Push Model for Service Platform Based on Deep Learning
Authors: Shuai Yong , Song Tailiang , Wang Yong , Xia Qing , Su Xinyi 
Published: August 2019

Abstract
In order to improve the push precision and user satisfaction of the service platform, this paper proposes an intelligent directional push model based on the existing problems of the intelligent search model and the actual characteristics of the service platform. Firstly, use data preparation method to finish collecting, integrating, cleaning, conversion and protocol of the user association data in the service platform. Then deep learning model is used to build a local service platform semantic library. Thirdly, use jieba algorithm to match the user-associated data with the local service platform semantic library, set the weights of input data based on its importance, use the normalization algorithm to obtain the access matching matrix of the target users. Finally the collaborative filtering algorithm is used to calculate the user matching degree. The case analysis proves that the model in this paper has higher accuracy.
Identification method of suspicious targets in submarine cable boundary based on multi-source data fusion
Authors: Yang ZuPei , Wang Xin 
Published: August 2019

Abstract
This paper studies a new all-round visualized cable zone monitoring system and target identification method. Specifically,a mobile robot vision system based on distributed control was designed for improving the efficiency of video processing. Secondly,the saliency measure based on background priors was used for image preprocessing and excluded the background regions which were less important. Finally,the recognition accuracy of the target was improved according to the dynamic template matching to images which had been processed. The experimental results show that the method can meet the requirements of real-time and veracity in the process of mobile robot’s target recognition,the method show good effectiveness.
Study on the method of SLAM initialization for monocular vision
Authors: Xu Guanghui , Zhang Qingsong , Li Na 
Published: August 2019

Abstract
Visual SLAM is considered as a key technology to realize the autonomous positioning and navigation of mobile robots, and also a hot research technology in the fields of unmanned driving, augmented reality and smart home. Among them, monocular camera based visual SLAM is one of the hotspots in the field of visual SLAM. In today’s mainstream visual SLAM, PTAM needs to manually select two images to complete the initial keyframe trajectory and map point estimation process, which limits the practical application of the system and reduces the success rate of initialization. In addition, ORB_SLAM system adopts the statistical model selection method to realize the automatic initialization process. This paper first introduces the definition of the homography matrix and the fundamental matrix and the implementation algorithm, and then elaborates on the use of a certain scoring strategy to select the model method for initialization.
Research on bat algorithms for inversion of particle size distribution in spectral extinction method
Authors: Wang Li , Huang Qianghuang , Wang Su , Yu Huiming , Xu Fuxin 
Published: August 2019

Abstract
The development of rapid and effective inversion algorithm is an important subject in the field of particle size distribution (PSD) measurement. An intelligent bat algorithm has been proposed to solve the problem of independent mode inversion in particle size distribution reconstruction based on spectral extinction method. The improved algorithm is more suitable for particle size distribution inversion under extinction method by enriching its behavior mode, improving local search mode and adding greedy strategy. In simulations, uniform spherical particles that obey the unimodal, bimodal and multimodal R-R distribution were used, and the scattering intensity values of the target function was added to the random noise of ±0%, ±3%, ±5%, ±8% respectively. In the inversion calculation of the improved bat algorithm, 400, 800 and 1000 iterations were performed for different distributions, respectively. Compared with modified pattern search method, the improved bat algorithm has strong noise resistance, moderate inversion time, independent of initial solution and high inversion accuracy for complex distribution. Compared with genetic algorithm, the improved bat algorithm has fast convergence speed, high accuracy and short time-consuming. Considering the practical application, the algorithm is suitable for field measurement and has a wide application prospect.
Research on PCB Cost Data System Based on Cloud Platform
Authors: Jinhai Yu 
Published: August 2019

Abstract
With the rapid development of electronic manufacturing industry in China, defect detection of printed circuit board (PCB) is particularly important in order to improve its quality and reduce its production cost. The cost of PCB has always been discussed in depth by practitioners, but there are few fixed models for replication, although confidentiality is the key reason. However, due to the long process of PCB and the variety of products, it is really difficult to be comprehensive. Therefore, based on the cloud platform, the author studies the PCB cost data system. Research shows that the cloud-based PCB cost data system allows management to master energy consumption data more effectively and in real time, effectively grasp the monitoring reports of production costs and energy consumption, and control the production equipment in a safe state in real time. Improve management capabilities.
Analysis of Bicycle-sharing Operation and Location Selection of Urban Retail Stores
Authors: Shang Rui 
Published: August 2019

Abstract
Bicycle-sharing is the product of the new era, which has brought a variety of life styles to the society. Generally speaking, the conventional considerations of retail store location include: urban factors, population factors, traffic factors, competitors and other related factors. Under the circumstance of sharing bicycle operation, the location methodology of retail stores has developed and changed. Besides recognizing Bicycle-sharing, people should carefully analyze the basic characteristics of bicycle-sharing, and then make a location decision suitable for the development of retail stores. In short, the location of retail stores should keep pace with the times and change the way of life in the new era with the sharing bicycle as a corresponding change.
Behavior Analysis of College Students on Using Microblog in Big Data Environment
Authors: Yang Peng , Li Wei 
Published: August 2019

Abstract
With the development of information technology in big data environment, the “closed” campus has gradually turned into an open campus, which brings a series of new opportunities and challenges for the student management of college. Social platforms such as Microblog can provide students with a broader space for learning and communication, students are no longer limited to being managed, and they are increasingly inclined to their own opinions. In this paper, a distributed Microblog spider platform is studied and implemented for the behavior of student users. First, the data support can be provided for behavior analysis by the crawling of user information and content of Microblog. Secondly, the combing, integrating, analyzing and mining of the crawled data can make the useful value behind the information fully utilized in the student management work.
An Approximate Calculation Method of Broadband Impedance of GIS Pipe Brackets
Authors: Qian Wenxiao , Ji Jianfei , Liu Haibo , Zhang Ping , Xu Keqiang , Cao Shuyun , Jiao Chongqing 
Published: August 2019

Abstract
In Gas Insulated Switchgear (GIS) substation, the grounding bracket of GIS pipe is used to support GIS pipe, meanwhile, it’s a part of grounding system connecting GIS pipe to grounding grid. The frequency of transient enclosure voltage(TEV) generated during switching operation of disconnector in gas insulated switchgear (GIS) with no-load short busbar can be up to tens or even hundreds of megahertz(MHz). Because of the impact of skin effect and proximity effect, the impedance of bracket will vary considerably with frequency. A simple and effective method of broadband impedance modeling was proposed based on electromagnetic field numerical calculation method and the physical structure of the grounding bracket in this paper. At last, the validity of the method was verified through calculating and analyzing some typical grounding bracket.
Consumption behavior evaluation of college students based on PSO-DTSVM
Authors: Chen Hui , Wang Xinze , Zhou Yan , Zhao Shasha , Zhang Dengyin 
Published: August 2019

Abstract
Blind and reckless consumption of the college students has become a common phenomenon. To give a correctly guiding, a decision tree support vector machine (DTSVM) based on particle swarm optimization (PSO) used to evaluate college students consumption behaviour is proposed in this paper. Firstly, the classification standard of college students consumption was derived with the investigation and data analysis. Then, the consumption ability and habits for different students are divided into four categories. Lastly, the targeted consumption index is fed back for the corresponding students. Experiment results show that a classification accuracy of 99.79% can be achieved, which will provide better guidance for the college students’ consumption behaviour.
Electronic Medical Record of University Hospital Based on Deep Learning
Authors: Cao Wanshan , Su Jing , Peng Zhibin , Xu Weihong , Liu Qingjian 
Published: August 2019

Abstract
Because the traditional paper medical record has the disadvantages of illegible handwriting and being difficult to save, we design the electronic medical record system for the university hospital. Additionally, the neural network model is used to realize auxiliary diagnosis and help doctors make decisions, which can provide effective reference for preventive health care, health education, and medical services in school hospitals. The system is putting into use in our university and has effectively improved the work efficiency of our school hospital.
Crystal growth of (Bi, Pb)2Sr2Ca2Cu3O thin films fabricated via post annealing
Authors: Mori Zon , Koba Shinichiro 
Published: August 2019

Abstract
Post-annealing of superconducting Bi2Sr2Can-1CunOx (BSCCO) thin films deposited by sputtering is essential for obtaining a single 2223 phase. However, optimum annealing temperature is limited to a very narrow range, needing to pass liquid phase for 2223 crystallization while not exceeding re-evaporation point. In this study, we optimized annealing conditions and observed the crystal growth process. As a result, single phase 2223 thin films with critical temperature of 108 K were obtained at 850 °C, while mixed phase thin films of 2223 and 2212 were grown above 855 °C. This is due to the re-evaporation of the thin film compounds, and these results reflect the recrystallization process after melting.
Utility of Routine Frozen Section of Thyroid Nodules Classified as Follicular Neoplasm
Authors: Grisales Jhorman , Sanabria Alvaro 
Published: August 2019

AbstractObjectivesTo evaluate the diagnostic performance of frozen section in thyroid nodules classified as follicular neoplasm.MethodsA diagnostic test meta-analysis was designed. Studies that assessed frozen section in patients with thyroid nodules and a fine-needle aspiration biopsy result of Bethesda IV were selected. The outcomes measured were the number of false- and true-positive and -negative results. We used the Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) instrument for methodological quality assessment and a bivariate mixed-effects regression framework and a likelihood-based estimation of the exact binomial approach.ResultsForty-six studies from 1991 to 2018 were included. Most studies had moderate methodological quality. The overall sensitivity and specificity were 43% (95% confidence internal [CI], 0.34-0.53) and 100% (95% CI, 0.99-1.00), respectively. The hierarchic summary receiver operating characteristic curve showed an area under the curve of 0.91 (95% CI, 0.80-0.97).ConclusionsFrozen section demonstrates moderate diagnostic performance in patients with follicular neoplasm, and its utility for making intraoperative decisions is limited. Its routine use should be discouraged.
Avoiding sexual interference: herkogamy and dichogamy in style dimorphic flowers of Narcissus broussonetii (Amaryllidaceae)
Authors: Barranco Daniel , Arroyo Juan , Santos-Gally Rocío 
Published: August 2019

AbstractSpatial (herkogamy) or temporal (dichogamy) separation of sex organs are mechanisms considered to restrict self-pollination and promote outcrossing. Additionally, avoidance of self-interference is proposed to be the driving force for the evolution of these mechanisms, particularly in self-incompatible species. However, species with anthers and stigmas at different levels may increase the rate of imprecise pollen transfer, resulting in pollen discounting. Non-reciprocal stylar dimorphism has been considered a transitional, unstable stage towards the evolution of reciprocal style dimorphism (distyly), to simultaneously avoid interference and lack of precision. In this study we investigate the spatial and temporal separation of sex organs in a population of the style dimorphic and self-incompatible Narcissus broussonetii and their consequences in the reciprocity between the sex organs of morphs and their fecundity. First, we evaluated the relative growth of sex organs after anthesis. Then, we studied the stigma receptivity along the flower lifespan including its effect on seed production in both morphs. Finally, given the weak reciprocity between the sex organs of morphs of this species, we estimated population genetic diversity parameters in Long- and Short-styled plants to explore differences between them as a result of rates of inbreeding due to different mating strategies. We observed that Long-styled plants and Short-styled plants present different strategies to avoid sexual interference and both of them had negative consequences in the reciprocity between the sex organs of morphs. Long-styled plants exhibited a delay in stigma receptivity and a higher growth rate of the style after anthesis, while Short-styled plants presented higher herkogamy and no delay in stigma receptivity. These findings suggest that the avoidance of self-interference, in stylar dimorphic Narcissus species, seems to be more critical than improving of reciprocity between the sex organs of morphs. This might explain why reciprocal herkogamy (distyly) is rare in the genus.
Alternating EM algorithm for a bilinear model in isoform quantification from RNA-seq data
Authors: Deng Wenjiang , Mou Tian , Kalari Krishna R , Niu Nifang , Wang Liewei , Pawitan Yudi , Vu Trung Nghia 
Published: August 2019

Abstract

Motivation
Estimation of isoform-level gene expression from RNA-seq data depends on simplifying assumptions, such as uniform read distribution, that are easily violated in real data. Such violations typically lead to biased estimates. Most existing methods provide bias correction step(s), which is based on biological considerations—such as GC content—and applied in single samples separately. The main problem is that not all biases are known.

Results
We have developed a novel method called XAEM based on a more flexible and robust statistical model. Existing methods are essentially based on a linear model Xβ, where the design matrix X is known and is computed based on the simplifying assumptions. In contrast XAEM considers Xβ as a bilinear model with both X and β unknown. Joint estimation of X and β is made possible by a simultaneous analysis of multi-sample RNA-seq data. Compared to existing methods, XAEM automatically performs empirical correction of potentially unknown biases. We use an alternating expectation-maximization (AEM) algorithm, alternating between estimation of X and β. For speed XAEM utilizes quasi-mapping for read alignment, thus leading to a fast algorithm. Overall XAEM performs favorably compared to recent advanced methods. For simulated datasets, XAEM obtains higher accuracy for multiple-isoform genes. In a differential-expression analysis of a real single-cell RNA-seq dataset, XAEM achieves substantially better rediscovery rates in independent validation sets.

Availability and implementation
The method and pipeline are implemented as a tool and freely available for use at http://fafner.meb.ki.se/biostatwiki/xaem/.

Supplementary information
Supplementary data are available at Bioinformatics online.
Reconciling Conflicting Paradigms of Biodiversity Conservation: Human Intervention and Rewilding
Authors: Van Meerbeek Koenraad , Muys Bart , Schowanek Simon D , Svenning Jens-Christian 
Published: August 2019

Abstract
There are strong opposing views among conservationists about whether we have to intervene to safeguard our natural heritage or not. In the Western European tradition, human intervention has been dominating, whereas, elsewhere, rewilding aimed at restoring self-regulating ecosystems has often been preferred. However, cultural rather than ecological differences are at the root of these opposing paradigms, leading to management strategies that are not always optimal for biodiversity conservation. In the present article, we propose a framework based on the relationship between ecosystem dynamics and the human footprint, including land-use legacies, to guide the mixture of rewilding and intervention practices in order to ensure a biodiverse future. We argue that these paradigms are not conflicting but complementary and advocate for rewilding where possible, human intervention where needed.
Changes in Transcript, Metabolite, and Antibody Reactivity During the Early Protective Immune Response in Humans to Mycobacterium tuberculosis Infection
Authors: Weiner January , Domaszewska Teresa , Donkor Simon , Kaufmann Stefan H E , Hill Philip C , Sutherland Jayne S 
Published: August 2019

AbstractBackgroundStrategies to prevent Mycobacterium tuberculosis (Mtb) infection are urgently required. In this study, we aimed to identify correlates of protection against Mtb infection.MethodsTwo groups of Mtb-exposed contacts of tuberculosis (TB) patients were recruited and classified according to their Mtb infection status using the tuberculin skin test (TST; cohort 1) or QuantiFERON (QFT; cohort 2). A negative reading at baseline with a positive reading at follow-up classified TST or QFT converters and a negative reading at both time points classified TST or QFT nonconverters. Ribonucleic acid sequencing, Mtb proteome arrays, and metabolic profiling were performed.ResultsSeveral genes were found to be differentially expressed at baseline between converters and nonconverters. Gene set enrichment analysis revealed a distinct B-cell gene signature in TST nonconverters compared to converters. When infection status was defined by QFT, enrichment of type I interferon was observed. A remarkable area under the curve (AUC) of 1.0 was observed for IgA reactivity to Rv0134 and an AUC of 0.98 for IgA reactivity to both Rv0629c and Rv2188c. IgG reactivity to Rv3223c resulted in an AUC of 0.96 and was markedly higher compared to TST nonconverters. We also identified several differences in metabolite profiles, including changes in biomarkers of inflammation, fatty acid metabolism, and bile acids. Pantothenate (vitamin B5) was significantly increased in TST nonconverters compared to converters at baseline (q = 0.0060).ConclusionsThese data provide new insights into the early protective response to Mtb infection and possible avenues to interfere with Mtb infection, including vitamin B5 supplementation.Analysis of blood from highly exposed household contacts from The Gambia who never develop latent Mycobacterium tuberculosis infection shows distinct transcriptomic, antibody, and metabolomic profiles compared to those who develop latent tuberculosis infection but prior to any signs of infection.