bluuebunny/crossref_metadata_2025_split huggingface dataset:
The invention relates to an intermediate frequency power supply fast start and digital phase locked loop control technology
Authors: Li Demin , Qin Qingliang 
Published: December 2021

Abstract
Intermediate frequency induction heating is widely used because of its low energy consumption and high thermal efficiency, but the speed of traditional intermediate frequency power supply is slow and its frequency tracking accuracy is limited. In order to maintain the resonant state of the load during the working process of the induction heating power supply and realize the automatic frequency tracking control during the working process. The frequency tracking of the 40kW intermediate frequency power supply is researched, and a method of combining the resonant frequency automatic identification algorithm and the digital phase locked loop frequency tracking control method is proposed. MATLAB simulation and experiment show that the system based on this control method can save the time of searching the load resonance frequency in the initial stage of the power supply, improve the frequency tracking speed, accelerate the dynamic response speed of the system, avoid the failure of frequency lock, and play the role of fast and stable startup.
Hardware in the Loop Real-time Simulation of Doubly Fed Off-grid Wind Power System
Authors: Xinyuan Gao , Kanru Gu , Qianru Zhou 
Published: December 2021

Abstract
Hardware in the Loop (HIL) semi-physical real-time simulation can shorten the research period and complete the harsh working condition test, which is difficult to be carried out on the physical platform. Taking the off-grid Doubly Fed Induction Generator (DFIG) wind power system as the research object, this paper proposes the bottom modelling method of HIL real-time simulation. Using the Hardware Description Language VERILOG, the bottom real-time models of DFIG, converter and load are designed on Field Programmable Gate Array (FPGA), connected with the real controller, and the HIL real-time simulation platform is constructed. The experiments of conventional working conditions and unbalance load are carried out on the HIL platform and the physical platform. The operation speed of the HIL platform reaches 0.48μs. Compared with the physical platform, the error of HIL platform is between 1.17 ~ 3.29% under various working conditions.
Research on space microwave energy reception technology based on electromagnetic-thermal-DC conversion
Authors: Qiu Zhuoyue , Wang Xinfa , Qin Zihao , Wang Xiaoshun , Fang Jinyong 
Published: December 2021

Abstract
A new microwave energy reception method is proposed for the wireless energy transmission needs of lunar rovers combined with the lunar environment, i.e. collecting thermal energy through microwave absorbing materials, and then converting thermal energy into direct current by using temperature difference power generation devices. The article analyses the two conversion processes, microwave-thermal and thermal-DC, separately. Under the approximate condition that the temperature at both ends of the absorbing material is regarded as equal, the two conversion processes are linked by energy conservation, which theoretically leads to the temperature and total efficiency of the system at steady state. The temperature and total efficiency of the system are initially obtained by numerical simulation with respect to the thickness of the absorbing material, the receiving area and the input power density by selecting the parameters of the carbon and iron composite material at 10 GHz. The results show that there is an optimum thickness of absorbing material for a certain input power density and receiving area, which results in the highest system efficiency. The larger the receiving area and input power density in a certain range, the higher the efficiency, but beyond a certain range the system efficiency shows a decreasing trend. Also the theory and the actual will produce a large deviation when temperature is high. The article concludes that this energy receiving method has great potential for application in the space environment based on the excellent wave absorbing materials and thermoelectric components but further research is needed.
Effect of laser deweighting on properties of ZL205A aluminum alloy
Authors: Li Guang , Wei Zhipeng , Wang Junlong , Zhang Yangyang , Wang Chen , Wu Xinping , Wang Xiaohua 
Published: December 2021

Abstract
In this paper, a nanosecond fiber pulse laser is used to carry out the experimental study on laser weight removal of ZL205A aluminum alloy gyro rotor. By optimizing the process parameters of laser weight removal, better surface morphology was obtained. The effects of surface roughness, metallographic structure and hardness of samples before and after laser deweighting were analyzed. The experimental results show that the laser weight removal does not affect the matrix properties of ZL205A aluminum alloy. The laser de-weight technology is suitable for the balance of ZL205A aluminum alloy gyro rotor.
Development of spring torsion bar type negative stiffness damping device and applied research
Authors: Song XinKe , Chen DeMin , Long QingMing , Qu BaoHua 
Published: December 2021

Abstract
Mini-tiller is the most commonly used machine for agricultural production in hilly areas of our country the traditional micro-tiller will produce strong vibration during the working process, which will cause physical injury to the operator while reducing the reliability of the micro-tiller. In response to this problem, a technical solution for arranging a spring torsion bar type negative stiffness vibration damping device on the tiller was proposed, and a spring torsion bar type vibration damping device with stable mechanical performance, economical and practical, and negative stiffness characteristics was developed. A mathematical model of the vibration source of the micro-tiller was established to analyze the vibration parameters of the micro-tiller. On this basis, SolidWorks is used to carry out three-dimensional modeling of the tiller and the vibration reduction device, and Adams is used for vibration simulation analysis. The vibration parameter curve before and after the addition of the vibration reduction device at the handle of the tiller is collected and mathematically analyzed. The results show that the spring torsion bar type negative stiffness damping device has a good damping effect, and the damping rate for displacement in the x, y, and z directions are all above 30%.
Research on Path Planning Algorithm of Bidirectional Rapidly Exploring Random Tree Improved by Artificial Potential Field
Authors: Xu Jinli , Xiao Haoran , Huang Fengyun 
Published: December 2021

Abstract
Aiming at the defects of path planning in rapidly exploring random tree(RRT) algorithm, such as low efficiency, strong randomness and slow convergence rate, a new algorithm based on artificial potential field was proposed in this paper. The algorithm used the scheme of bidirectional growth of exploration tree to make two growth trees explore and expand outwards from the starting point and the end point at the same time to accelerate the convergence speed of the algorithm. In the early stage, growth pretreatment was added to make the two growing trees take their respective endpoints as the target points and pass through the obstacle free area rapidly at one time. Artificial potential field method was used to modify the growth tree touching the obstacle and guide the path to grow towards the end. The adaptive change probability was used to select different target points as the growth directions in different periods with different probabilities to accelerate the meeting of two growing trees. After a lot of simulation experiments and data analysis, the improved bidirectional RRT algorithm has higher search efficiency, better growth path and fewer sampling points.
Fusing image feature and title semantic regularization with adversarial networks for cross-modal retrieval
Authors: Zhou Kai 
Published: December 2021

Abstract
With the improvement of living standard, people pay more and more attention to their health. Food is the foundation of human life, modern society places more emphasis on a balanced diet, which controls fat, protein, carbohydrate and vitamin intake. So food computing is more and more important. Food retrieval is one of the important research directions in food computing. On the basis of food retrieval, we can predict ingredients and instructions in each dish, according to the ingredients and instructions to speculate on the visual effect of cooking, which can guide human reasonable diet, analyse human diet structure and diet culture and so on. In this paper, we focus on cross-modal retrieval between food image and recipe. Firstly, we analyze the problems existing in the present method. Based on the problems existing in the existing method, a fusion image feature and title regularization with adversarial network is proposed, which uses the idea of generative adversarial to align the modes, fuses the local features and global features of the image, and adds the semantic regularity of title to improve the accuracy of the retrieval.
Core looseness fault identification model based on Mel spectrogram-CNN
Authors: He Ping , Li Yong , Chen Shoulong , Xu Hoghua , Zhu Lei , Wang Lingyan 
Published: December 2021

Abstract
In order to realize transformer voiceprint recognition, a transformer voiceprint recognition model based on Mel spectrum convolution neural network is proposed. Firstly, the transformer core looseness fault is simulated by setting different preloads, and the sound signals under different preloads are collected; Secondly, the sound signal is converted into a spectrogram that can be trained by convolutional neural network, and then the dimension is reduced by Mel filter bank to draw Mel spectrogram, which can generate spectrogram data sets under different preloads in batch; Finally, the data set is introduced into convolutional neural network for training, and the transformer voiceprint fault recognition model is obtained. The results show that the training accuracy of the proposed Mel spectrum convolution neural network transformer identification model is 99.91%, which can well identify the core loosening faults.
Cutting Process Model Design of Cutter Suction Dredger Based on Auto Regressive eXogenous and Radial Basis Function model
Authors: Zhang Huan , Yu Menghong , Yuan Wei 
Published: December 2021

Abstract
The dredging operation of the strander dredger is complex, and the mathematical model established according to its key equipment characteristics is not possible to describe such a system having time degeneration and non-linear. Therefore, based on the analysis of mud formation process of dredger, RBF-ARX model is used to model the cutting process, and mud concentration is taken as the output. This modeling method is a combination model based on the theory of Auto-Regressive eXogenous (ARX) model and Gauss radial basis function (Radial Basis Function) neural network (RBF). The comparison between the simulation results and the actual data shows that the model can accurately describe the dynamic characteristics of cutter suction dredger in the cutting process.
Tolerance analysis and optimization based on 3DCS
Authors: Gao Yuan 
Published: December 2021

Abstract
At present, with the increasing requirements of major enterprises on assembly accuracy, the problem of interference and excessive clearance between parts needs to be solved. In order to analyze and optimize the tolerances in the actual assembly of the parts, a three-dimensional vector ring model is proposed on the basis of the dimensional chain model, and the tolerance distribution is optimized by the “dichotomy method”. With the help of 3DCS, the virtual assembly of the automobile headlight is carried out, and the sensitivity analysis is carried out by establishing the measurement of the gap between the turn signal and headlight in the automobile headlight, and the simulation results are used to obtain a reasonable improvement in tolerance allocation that meets the design criteria and saves costs. The results are compared with the traditional method of optimizing the allocation of equal tolerances and are clearly superior, providing a method for optimizing the allocation of tolerances to parts in engineering practice.
Research on Density-Based K-means Clustering Algorithm
Authors: Liu Shuxin , Liu Xiangdong 
Published: December 2021

Abstract
Cluster analysis is an unsupervised learning process, and its most classic algorithm K-means has the advantages of simple principle and easy implementation. In view of the K-means algorithm’s shortcoming, where is arbitrary processing of clusters k value, initial cluster center and outlier points. This paper discusses the improvement of traditional K-means algorithm and puts forward an improved algorithm with density clustering algorithm. First, it describes the basic principles and process of the K-means algorithm and the DBSCAN algorithm. Then summarizes improvement methods with the three aspects and their advantages and disadvantages, at the same time proposes a new density-based K-means improved algorithm. Finally, it prospects the development direction and trend of the density-based K-means clustering algorithm.
Dairy productivity of Kazakh horse mares
Authors: Baimukanov D A , Semenov V G , Aubakirov Kh A , Zh Iskhan K , Kargayeva M T , Baimukanov A D 
Published: December 2021

Abstract
The work aimed to establish the influence of udder parameters of Kazakh mares on their formation of dairy productivity and the growth rate of foals during the milk period. The cup-shaped udder is characterized by a large base (the udder circumference at the base is 70.3 cm), the symmetrical arrangement of both udder lobes, with well-developed cylindrical nipples, the nipples are widely spaced between the two lobes. The round shaped udder is instead characterized by conical and short nipples and a smaller udder volume. For four months of lactation, 1051 liters of commercial milk were produced from mares with cup-shaped udder, while 823.6 liters- with round-shaped udder.The observation results showed that foals from mares with the cup-shaped and round - shapedudders on the first day of life were 39.8 and 39.6 kg of live weight, respectively, then after a month, it doubles, reaching 82.5 and 79.5 kg. The highest indicators of absolute gain - 42.7 kg, average daily gain - 1.42 kg, and relative gain -107.3% were observed in offspring with a cup-shaped udder. In foals delivered from mares with a round-shaped udder, the gain rates (39.9; 1.33 kg and 100.7%, respectively) were slightly lower.
Peculiarities of the logistic approach in the agro-industrial complex
Authors: Gordeeva L G , Filippova S P , Gordeev A A , Abrosimova M S , Litvinova O V , Talanova N V , Nesterova N V , Semenova A N 
Published: December 2021

Abstract
Effective sale of products is one of the main directions of increasing the financial stability of enterprises in the agro-industrial complex. The use of a logistic approach implies a change in the existing situation at the enterprises of the agro-industrial complex, the introduction of new technologies in order to reduce the costs of commodity movement, and the coordination of interaction between participants in the logistics system. It is necessary to take into account the specifics of the food market more fully, consider the logistics system in conditions when a large number of economically independent market entities enter the market. The paper examines theoretical approaches to studying the problem of using the logistic approach in the agro-industrial complex and reveals the basic nodes of the agro-logistics system. Peculiarities of using logistics in the agro-industrial complex are described, basic logistic flows and processes in the given branch are reviewed. Types of distribution of products in the agro-industrial complex are analyzed. Influence of use of logistic methods of management generally and of stocks in particular on production and financial activity of enterprises in the given sphere is estimated.
Numerical investigation on sealing performance of non-contact finger seal with herringbone groove surface topography
Authors: Chen Lingping , Zhang Yanchao , Cui Yahui , Zhi Bowen , Wang Jie , Wang Mingfeng 
Published: December 2021

Abstract
Since the last decade, the non-contact finger seal (NCFS) has attracted an increasing number of researchers due to its inherent flexibility and non-contact features, which can significantly improve the service life and reduce the leakage rate of the finger seals. In this paper, to enhance the NCFS sealing performance, lifting pads with twenty (20) different herringbone groove surface topographies are proposed based on the uniform design method. Numerical analysis is carried out based on the two-way fluid-structure interaction (FSI) method to better mimic the actual working conditions. The analysis of results using statistical tools reveals that the herringbone groove topographies placed on the bottom surface of low-pressure lifting pads can significantly improve the load-carrying capacity and sealing performance. In addition, the correlation analysis of the sealing performance and geometric parameters of the herringbone groove demonstrate that reducing the groove width or increasing the groove internal angle can improve the lifting and leakage capacities. Finally, the optimal herringbone groove and general structure (no groove) are comparatively analysed under variable working conditions, and the results show that the former has much better sealing performance.
A Potassium-Based Quality-of-Service Metric Reduces Phlebotomy Errors, Resulting in Improved Patient Safety and Decreased Cost
Authors: Lucas Fabienne , Mata Douglas A , Greenblatt Matthew B , Means Janet , Jarolim Petr 
Published: December 2021

Abstract

Objectives
Poor phlebotomy technique can introduce pseudohyperkalemia without hemolysis, requiring additional workup and placing a significant burden on patients, clinical teams, and laboratories. Such preanalytical biases can be detected through systematic evaluation of potassium concentrations on a per-phlebotomist basis. We report our long-term experience with a potassium-based quality-of-service phlebotomy metric and its effects on resource utilization.

Methods
Potassium monitoring and retraining of 26 full-time phlebotomists were piloted as a quality-of-service intervention. Changes in potassium concentrations and impact on resource utilization were assessed. An algorithm for data monitoring and phlebotomist feedback was developed, followed by institution-wide implementation.

Results
Systematic intervention and retraining normalized K+ concentrations and lowered the percentage of venipunctures with K+ above 5.2 mmol/L, leading to a marked increase in phlebotomist compliance. This change resulted in resources savings of 13% to 100% for individual phlebotomists, reducing the total extra laboratory time required for repeat phlebotomies to determine hyperkalemia, mostly in the high-volume phlebotomist group.

Conclusions
A quality-of-service algorithm that involved monitoring potassium concentrations on a per-phlebotomist basis with feedback and retraining contributed to a concrete, data-based quality improvement plan. The institution-wide implementation of this metric allowed for significant cost savings and a reduction in critical value alerts, directly affecting the quality of patient care.
Comparative phylogeography among eight Neotropical wild cat species: no single evolutionary pattern
Authors: Ruiz-García Manuel , Pinedo-Castro Myreya , Shostell Joseph Mark 
Published: December 2021

AbstractThe felid species of South America are thought to have arrived on the continent during the Great American Biotic Interchange (GABI) in the Pleistocene. However, molecular and palaeontological data do not agree on how this event affected speciation in felids. Here, we determine both the number of colonization events and the period when felines first migrated from North America to South America. In addition, we evaluate whether similar evolutionary events could have affected the eight Neotropical cat species in their levels of genetic diversity, spatial genetic structure and demographic changes. We analysed four concatenated mitochondrial genes of the jaguar, ocelot, margay, tigrina, pampas cat, Andean cat, puma and jaguarundi. The samples were representative of a wide distribution of these species in Central and South America. Our analysis suggests either three or four colonization events from North America to South America over the past 3 Myr, followed by subsequent speciation events and the attainment of high or very high genetic diversity levels for seven of the species. No unique evolutionary process was detected for any of the current Neotropical cat species.
Primary hyperoxaluria type 1: time for prime time?
Authors: Bacchetta Justine , Wood Kyle D 
Published: December 2021

ABSTRACT
Oxalate crystals in the kidney were first described in 1925. Since then, many major milestones have been reached in the understanding of genetic primary hyperoxaluria(s). Primary hyperoxaluria type 1 (PH1) is an autosomal recessive disease due to a mutation in the AGXT gene, which encodes the hepatic peroxisomal enzyme alanine-glyoxylate aminotransferase (AGT), inducing excess oxalate production and further kidney stones, nephrocalcinosis and chronic kidney disease (CKD). Symptoms and age at diagnosis of PH1 vary dramatically, from the most severe infantile forms leading to end-stage kidney disease (ESKD) during the first months of life to the less severe adult forms with moderate CKD and recurrent kidney stones. In 2020, the Food and Drug Administration (FDA) and European Medicines Agency (EMA) approved a therapy based on RNA interference (RNAi) that profoundly reduces endogenous oxalate synthesis and dramatically changes the treatment algorithm for patients with PH1. The aim of this supplement of Clinical Kidney Journal includes contemporary reviews of the pathophysiology and genetics, (conventional) medical therapeutic management, urological therapeutic management and novel therapies (including not only RNAi, but also other therapeutic perspectives). The specific opinions of both adult and paediatric nephrologists will be compared and the ethical issues, as well as challenges faced by physicians and patients in developing countries, will also be discussed. Despite all the accomplishments, there are still looming questions that require further investigation and discovery.