bluuebunny/crossref_metadata_2025_split huggingface dataset:
Two-stage reconstruction for flexor tendon injuries in zone II using a silicone rod and pedicled sublimis tendon graft
Authors: Abdul-Kader Mohammed Heshmat , Amin Mahmound A. M. 
Published: January 2020

ABSTRACTWe report the results of staged flexor tendon reconstruction in 12 patients (12 fingers) with neglected or failed primary repair of flexor tendon injuries in zone II. Injuries involved both flexor digitorum profundus (FDP) and flexor digitorum sublimis (FDS), with poor prognosis (Boyes grades II–IV). The procedure included placing a silicone rod and creating a loop between the FDP and FDS in the first stage and reflecting the latter as a pedicled graft through the pseudosheath created around the silicone rod in the second stage. At a mean follow-up of 18 months (range 12–30 months), results were assessed by clinical examination and questionnaire. The mean total active motion of these fingers was 188°. The mean power grip was 80.0% and pinch grip was 76% of the contralateral hand. The rate of excellent and good results was 75% according to the Buck-Gramcko scale. These results were better than the subjective scores given by the patients. Complications included postoperative hematoma in two, infection in one, silicone synovitis in one (after stage I) and three flexion contractures after stage II. This study confirmed the usefulness of two-stage flexor tendon reconstruction using the combined technique as a salvage procedure to restore flexor tendon function with a few complications.
A first look at Pyu grammar
Authors: Miyake Marc 
Published: January 2020

AbstractPyu, an extinct Sino-Tibetan language once spoken in what is now Upper Burma, remains barely explored beyond the level of transliterating texts and the identification of individual words. Knowledge of Pyu grammar has advanced little over the past century. This article (1) presents a methodology for discovering the syntax of Pyu, (2) identifies five word classes and their combinatorial properties, (3) lists all known grammatical morphemes with notes on usage, (4) formulates rules of word order, and (5) demonstrates how all of the above can elucidate the meaning of a previously undeciphered Pyu inscription. Over 200 examples are provided.
High‐intensity cycling re‐warm up within a very short time‐frame increases the subsequent intermittent sprint performance
Authors: Yanaoka Takuma , Hamada Yuka , Fujihira Kyoko , Yamamoto Ryo , Iwata Risa , Miyashita Masashi , Hirose Norikazu 
Published: January 2020

AbstractThis study investigated the effect of high‐intensity cycling re‐warm up (RW) within a very short time‐frame on the subsequent intermittent sprint performance. Twelve active males completed three trials in random order: control (CON); 3‐min RW at 30% of maximal oxygen uptake (VO2max) (RW30); and 1‐min RW at 90% of VO2max (RW90). During the experimental trials, participants performed 40‐min intermittent cycling exercise followed by 15‐min rest. During the rest period, participants completed CON, RW30, or RW90. After the rest period, participants performed the Cycling Intermittent‐Sprint Protocol (CISP), which consisted of 10‐s rest, 5‐s maximal sprint, and 105‐s active recovery with the cycles repeated over 10 min. The mean work during sprint for the CISP was significantly higher in both RW trials than in the CON trial (mean±standard deviation; CON: 3539±698 J; RW30: 3724±720 J; RW90: 3739±736 J; p<0.05). The mean electromyogram amplitude during the sprint for the CISP was higher in the RW30 trial than in the CON trial; however, there was no significant difference between the two trials (p=0.06). The mean median frequency during sprint for the CISP was significantly higher in the RW90 trial than in the other trials (p<0.05). Rectal temperature did not differ among the three trials. Oxygenated haemoglobin during the initial 30 s of the CISP was significantly higher in the RW90 trial than in the CON trial (p<0.05). Compared with seated rest, RW, irrespective of whether it comprised 1‐min at 90% of VO2max or 3‐min at 30% of VO2max, increased the subsequent intermittent sprint performance.
Statistical modeling of a seismic isolation object under random seismic exposure
Authors: Lapin V A , Yerzhanov S E , Aldakhov Y S 
Published: January 2020

Abstract
Using probabilistic methods, the reliability and seismic resistance of a large-panel building on kinematic foundations (KF) at the seismic isolation site in Almaty is analyzed. The building is modeled by a nonlinear single-mass system with an experimental deformation diagram. Seismic impact is modeled by a random process with a given correlation function. To calculate probabilistic characteristics, the method of statistical tests is used (Monte-Carlo method). The seismic impact parameters are set in accordance with the “Map of the seismic zoning of the Republic of Kazakhstan” by the median values of peak accelerations. 2 accelerograms of the 1990 Baysorun earthquake were chosen as the impact model. Therefore, these accelerograms were taken as the basis for modeling the seismic effects of a random process. Generation of realizations of a stationary random process is performed by recursive filtering. The influence of the number of statistical tests (artificial accelerograms) on the accuracy of calculating the moments of the distribution function of displacements was investigated. According to the results of a Monte Carlo calculation using 5000 realizations, the reliability of the building is determined (probability of failure-free operation). Conclusions about system effectiveness of seismoisolation of kinematic type for the influence specified like buildings at regional parameters are drawn.
Assessment of Dynamic Characteristics of High-Rise Structures Taking into Account Dissipative Properties of the Material
Authors: Khudainazarov Sherzod , Sabirjanov Talibjan , Ishmatov Alisher 
Published: January 2020

Abstract
The methods and algorithm to assess dynamic characteristics of high-rise structures are given in the paper taking into account the variability of slopes and the structure thickness in the framework of one-dimensional theory of viscoelasticity. The Boltzmann-Volterra hereditary theory was used to describe dissipative processes in the structure material. The reliability of results was verified by comparing the obtained results with the exact solution of a number of test problems. Natural vibrations of high-rise chimney stacks and ventilation pipes of thermoelectric and nuclear power plants have been investigated. It was revealed that the natural frequencies of the considered structures fall into the dangerous range of earthquake frequencies. The obtained frequencies of natural vibrations of real structures are compared with the results of field experiments.
Fire damage of concrete building structures
Authors: Akulova M V , Flegontov D V , Sokolova Yu A , Sokolova A G 
Published: January 2020

Abstract
The authors proposed innovative approach to defining the extent of damage for concrete building structures. The present paper factors in the problems of detection of damaged structures arising due to thermal stress. The detection methods have been analyzed. There has been found and justified the need for elaboration of complex methodic applicable to detection of fire pocket and the evaluation of possibility of further structural use. The authors have shown the possibility of applying methods of synchronous thermal analysis for investigation of concrete composites with the purpose of further detection of hidden fire pocket and finding severely damaged members of building structures. The obtained results of synchronous thermal analysis are recommended for evaluation of further possible service of building structures.
Deformation and failure of monolithic reinforced concrete frames under special actions
Authors: Fedorova N V , Ngoc Vu Tuyen 
Published: January 2020

Abstract
The results of experimental and theoretical studies of crack formation, deformation and failure of monolithic reinforced concrete frames under accidental action caused by the sudden removal of one of columns of the first floor. Experimental studies were carried out on the model of structural fragment of a three-story two-span reinforced concrete frame, designed from fine-grained concrete class B40 with reinforcement A500. The test of experimental structures is executed by the gravitational load, with use of specially designed lever loading device. Special effect in the form of sudden removal of central columns of the frame was modelled using a specially designed mechanism in the form of sudden switching-off device. The obtained experimental values of widths of cracks, deflections, pictures of cracking and failure of experimental structures of the frames before and after beyond-design action. The experimental values of these parameters are compared with the results of calculation by the method taking into account the specifics of static-dynamic loading of physically and constructively nonlinear structures under the considered special actions.
Modelling of a prestressed beam without concrete-to-steel bond
Authors: Keo Oun , Gneushev I , Topilin A 
Published: January 2020

Abstract
The article deals with the behavior of reinforced concrete beam using reinforcement without concrete bond based on the calculation models made in the calculation complexes. The maximum load corresponding to the ultimate limit state is determined. The modelling results are compared with the calculation results in accordance with the regulatory documents on the design of structures without concrete-to-steel bond. The proposals to determine the maximum load corresponding to destruction were made.
The choice of durable blocking waterproofing mathematical method
Authors: Sokova Serafima , Smirnova Nadezhda 
Published: January 2020

Abstract
Subject: the main issue during the study is the problem of choosing the optimal waterproofing system for the underground parts of buildings and structures. Objectives: choosing the optimal waterproofing system using a mathematical method - hierarchy analysis method. Materials and methods: the procedure of pairwise comparisons that prioritize the hierarchical structure. Results: the mathematical method allowed us to determine the optimal system - a complex system with durable mineral-based waterproofing materials. Conclusions: the effectiveness of the mathematical method is reflected in the selection of the optimal solution for the protection of supporting underground structural elements. On the basis of which a new technology for the protection of foundations is proposed.
Refined second-order plastic-hinge dynamic analysis for planar steel frames
Authors: Nguyễn Văn Tú , Phạm Thanh Bìrnh , Nguyễn Xuân Bàng 
Published: January 2020

Abstract
The paper presents the method of the refined second-order plastic hinge analysis for planar steel frames subjected to dynamic loads. The material model used is the generalized Clough model in consideration of effects of axial and shear force on plastic limit state of cross-sections. Geometric nonlinearities of member and frame are taken into account by the use of stability functions in framed stiffness matrix formulation. Non-linear motional equation of structures was established by finite element method and solved by Newmark method combined with the modified Newton-Raphson method. Based on the obtained algorithms, the author has programmed a computational program and calculated the planar steel frames. From the calculated results, discussions and conclusions are presented.
The Distribution Network Operation Online Monitoring and Analysis System of State Grid Corporation (Phase 5)
Authors: Zhang Jian , Xuan Xin , Xu Zheng , Shao Xiufeng 
Published: January 2020

Abstract
Under the organization of Information & Communication Department and the Operation & Monitor Center in State Gird Corporation’s headquarter, and after two years of construction from 2015 to 2016, the operational efficiency research and monitoring work was carried out at the three-level operation and monitor centers including headquarters, provincial and prefecture level. This provided quantitative evaluation and decision-making basis for the state grid planning and production operations. The leaders of Corporation highly affirmed the results of the special analysis of the operational efficiency of the distribution network assets which is actively explored by the operation & Monitor center. The leaders also put forward the higher requirement on this. To this end, improving the online monitoring and analysis system of the State Gird Corporation’s network distribution operation has stronger practicality.
Computer Simulation Design of Joint Manipulator for Handling Pipeline
Authors: Zeng Peng , Fang Ziqiang , Xing Feihu 
Published: January 2020

Abstract
The joint manipulator is a transmission device suitable for operation close to the body, which can realize multiple degrees of freedom and move flexibly. In this paper, through the transmission analysis of the big arm, the small arm, the wrist and the other parts of the manipulator, a kind of joint manipulator used in the transportation pipeline is proposed, and a three-degree-of-freedom wrist transmission mechanism is designed. On this basis, the structure of the wrist transmission parts is analyzed and designed, and the mechanical analysis and strength check of the gear connecting shaft of the wrist part are carried out.
Design of Power Communication Anti-accident Maneuver Simulation System Based on Alarm Deduction
Authors: Yan Shengchao , Zhou Haobo , Qi Juan 
Published: January 2020

Abstract
In order to improve the effect of the power communication anti-accident maneuver, and to enhance the ability of operation and maintenance personnel to judge and remove network faults quickly and accurately, series of key approaches are adopted, such as root alarm analysis and business analysis. Considering the relationship between the fault and alarm, power communication anti-accident maneuver system based on alarm deduction is realized. Ultimately the purpose of improving the quality and efficiency of the operation and maintenance personnel is achieved.
SWRL Parallel Reasoning Implementation with Spark SQL
Authors: Li Wan , Kang Huaai , Ma Dongbo , Wei Weiwei 
Published: January 2020

Abstract
With the rapid development of semantic Web and big data technology, ontology data has the characteristics of large-scale, high-speed growth and diversity which big data has. On one hand, the conventional ontology reasoners do not scale well for large amounts of ontologies because they are designed for run on a single machine. On the other hand, the existing scalable reasoners are not perfect enough, for example, to completely support the widely used Semantic Web Rule Language (SWRL) rules. This paper presents an implementation for SWRL scalable parallel reasoning using the Spark SQL programming model, and optimizes and processes some of the problems in the implementation.
A BCI System with Motor Imagery Based on Bidirectional Long-Short Term Memory
Authors: Lin Jzau-Sheng , She Bing-Hong 
Published: January 2020

Abstract
A bidirectional long short term memory (BiLSTM) neural network was embedded into a brain-computer interface (BCI) system based on motor-imagery (MI) in this paper. The MI-based electroencephalogram (EEG) signals were used to recognize different imagery actions. The dynamic characteristics of MI signals in EEG are usually low signal-to-noise ratio as non-stationary time series. A lot of strategies have been proposed to clustering MI-EEG signals. However they are not considering the concept of series features of the signal in time domain with forward and backward manners, so the recognition results are not promising. The discrete wavelet transform (DWT) was also used to get the frequency feature from transforming each channel of MI-EEG in this paper. Then the proposed BiLSTM is proposed as a classifying system to identify the MI-EEG data. BiLSTM can extract dependencies of different time points by each recurrent unit with an adaptive manner. Besides the forward manner of time series signals in the LSTM unit, the BiLSTM also puts the output signals into previous layers with backward manner. The BiLSTM system can get more promising results in the classification of MI-EEG than those obtained by other strategies shown as in experimental results.
Extraction and Recognition of Fingerprint Characteristic of Mobile Terminal’s Transient Signal
Authors: Luo Fucai , Wu Fei , Li Hongfa , Li Ting , He Jindong , Chen Qian 
Published: January 2020

Abstract
The fingerprint characteristic of mobile terminal’s signal is unique and it can be used to identify the source of the signal. In all the characteristics, the characteristic of transient signals has been more favoured because of the greater diversity. However, the duration of transient signal is extremely short and difficult to accurately detect. Therefore, in order to successfully obtain the fingerprint characteristic, most of the research results are based on the laboratory environment. In this paper, through the methods of differential constellation trajectory and neural network, we realize the extraction and recognition of fingerprint characteristic of mobile phone’s transient signal in the real environment. Meanwhile, by controlling the distance between the terminal and the base station, we also studied the recognition of fingerprint characteristic under different noise conditions.
Dynamic Frequency Tracking Method for Anti-offset Wireless Power Transfer System Based on Phase Comparison
Authors: Wu Xiaokang , Jiang Cheng , Wei Bin , Zhang Fan , Cai Changsong 
Published: January 2020

Abstract
In this paper, a dynamic frequency tracking method for the anti-offset wireless power transfer system based on phase comparison is proposed. The anti-offset characteristics of the system are realized by the structural design of the transmitting coil. The proposed anti-offset coil is verified in both simulation and experiment. However, in order to solve the frequency shift caused by the change of system parameters, a dynamic frequency tracking method is proposed in this paper, which continuously captures and calculates the phase difference between the current and voltage at the transmitting unit through the STM32 chip, adjusts the output frequency in time, and finally keeps the working frequency near the slightly inductive area. This paper establishes an experimental prototype and achieves an efficiency improvement of 6% to 8% through the proposed control method.
Research on Mutual Inductance Prediction of Resonant Magnetic Coupling Wireless Power Transmission System Based on Recursive Least Square Method
Authors: Wang Songcen , Wei Bin , He Hao , Mu Jianxue , Cai Changsong 
Published: January 2020

Abstract
In this paper, based on recursive least square algorithm and resonant magnetic coupling wireless power transmission technology, the magnetic coupling mutual inductance value, which is a significant factor affecting the transmission power and efficiency of wireless transmission system, is predicted. According to the characteristics of the system, a mathematical model of LCC-P-type topology structure is established. Through mathematical deduction and analysis, combined with MATLAB/Simulink simulation results are obtained, and its feasibility is verified by experimental results.
Research on Indoor and Outdoor Positioning System for Special Population
Authors: Zhong Jun , Zhao Shasha , Han Xuefeng , Liu Yongfeng , Guo Kai 
Published: January 2020

Abstract
Special populations, such as empty-nesters, people with a mental health condition, active children, prison inmates, etc., have a considerable number. The WHO noted that there were 47.5 million people with dementia worldwide in 2016. As the number of people with dementia in low- and middle-income countries continue to increase, it is predicted that the total number of people with dementia will reach 75.6 million in 2030 and reach 135.5 million in 2050. The National Health and Family Planning Commission released the “China Family Development Report (2015)”, which is half of the total number of elderly people. The number of severely mentally disabled patients registered in the country reached 4.297 million, and there were 1, 650 national mental health professional institutions and more than 20, 000 psychiatrists. As of 2012, there were 681 prisons in the country, 300, 000 people in prison, and 1.64 million prisoners. More than 80% of the prisons have established video surveillance systems. The Ministry of Public Security’s “Emergency Release Platform for Children’s Missing Information” is about 100 people abducted every year. The number of missing children who are about one-millionth of a year is not found, and the missing rate is about three-tenths of a million. The real-time positioning of the above-mentioned special population has become the key to solving related problems. Relevant nursing homes, community institutions, mental health institutions, and prisons have become the main demand side.
Improving k-Nearest Neighbors Algorithm for Imbalanced Data Classification
Authors: Shi Zhan 
Published: January 2020

Abstract
The k-Nearest Neighbors (k-NN) algorithm is a classic non-parametric method that has wide applications in data classification and prediction. Like many other machine learning schemes, the performance of k-NN classifiers will be significantly impacted by the imbalanced class distributions of data. That is, the data instances in the majority class tend to dominate the prediction of the test instances. In this paper, we look into the data pre-processing techniques that can be used to rebalance the training data and enhance the performance of k-NN classifiers in imbalanced data sets. We conduct extensive experiments on 14 real-world data sets collected from different application domains. We also perform statistical tests to verify the significance of different data pre-processing techniques in terms of boosting k-NN classification precision.
Public Opinion Prediction Model of Food Safety Events Network Based on BP Neural Network
Authors: Zheng Chen , Song Yinghua , Ma Yaping 
Published: January 2020

Abstract
The food safety incident network public opinion has the characteristics of wide audience, complex and changeable, and bad influence. It is of great theoretical and practical significance to study the behavioral and influencing factors of microblog public opinion forwarding in this kind of event. This paper summarizes and enriches the index factors affecting the network’s public opinion forwarding volume. Combined with BP neural network algorithm, this paper constructs a network public opinion forwarding behavior prediction model, and applies and verifies it by crawling Sina Weibo food safety event microblog data. The results show that the introduction of fan activity has a certain weight ratio, which has a greater impact on the forwarding of public opinion in food safety events network with identity authentication, hot search, hypertext and other indicators, and the prediction model combined with BP neural network has a better prediction effect.
Research on Application of Emergency Text Classification Based on Combination Model
Authors: Lyu Long , Song Yinghua , Liu Dan 
Published: January 2020

Abstract
Based on the powerful learning ability of the deep learning model, the text uses convolutional memory network (CLSTM) to process the text information of the emergency. Firstly, the convolutional neural network is used to learn the local spatial feature information of the text, and then the text is extracted by the long and short memory neural network. The time feature information is used to scale the feature information by using the Softmax layer to finally obtain the event text category. Through experimental comparison, the precision, recall and comprehensive values of CLSTM model reached 0.879, 0.877 and 0.848, respectively, which were significantly higher than MLP and CNN models.