bluuebunny/crossref_metadata_2025 huggingface dataset:
Prognosis and Clinical Results after Coronary Artery Bypass Operation in Young Patients Aged <45 Years: Chances and Limitations of a New Therapy Option
Authors: Wittlinger Thomas , Schramm René , Bleiziffer Sabine , Rudolph Volker , Gummert Jan Fritz , Deutsch Marcus-André
Published: November 2021

Coronary artery bypass grafting (CABG) is the recommended type of revascularization procedure in patients with left main or three-vessel disease and is considered an alternative when percutaneous coronary intervention is not feasible. We evaluated registry data to obtain long-term outcome data.

All patients ≤45 years in whom CABG was performed between 2009 and 2019 were selected from the Heart and Diabetes Center NRW, Germany. Cox regression analysis was applied to estimate the incidence risk of events after surgery.

A total of 209 patients (81.8% male) were included. Mean (standard deviation) follow-up duration was 5.8 (3.1) years. The combined outcome of death, stroke, myocardial infarction, or repeated revascularization occurred in 31 patients (14.8%). Estimated mean time to event was 8.5 (standard error: 0.22) years. By the end of the follow-up period, 8 patients (3.8%) had died, among whom 2 (1.0%) died within 1 month after surgery, 1 (0.5%) within 1 year, 1 (0.5%) within 2 years, and 4 (1.9%) after 2 years.

Risk factors independently associated with postsurgery events were angina pectoris CCS (Canadian Cardiovascular Society) class IV (adjusted hazard ratio [HR]: 4.954; 95% confidence interval [CI]: 1.322–18.563; p = 0.018) and STS (Society of Thoracic Surgeons) score (adjusted HR: 1.152 per scoring point; 95% CI: 1.040–1.276; p = 0.007).

After performing CABG in patients ≤45 years, event-free long-term outcomes were observed in the majority of patients. Presence of angina pectoris CCS class IV and higher STS scores were independently associated with adverse postsurgery events.
Association of ABO Blood Grouping and Periodontal Disease: A Literature Review
Authors: Rehman Ghani Ur
Published: November 2021

Although the correlation between the ABO blood group and certain systematic diseases is a well-documented fact. Few studies have explored the relationship of ABO with oral disorders including periodontal diseases (PD). This literature review aimed to assess the possible association between ABO blood grouping and PD. For this purpose, we searched online databases like PubMed and google scholar with the following terms in different combinations PD, ABO blood groups, gingivitis, the prevalence of periodontitis, aggressive periodontitis, risk factors of periodontitis, Association of PD and ABO, ABO Rh factor. English version papers describing the Oral health status are covered through research that includes clinical investigations, case studies, and retrospective studies on the subject. Historic reviews, articles with unpublished data, and letters to the editors were omitted from the survey following publications. The author thoroughly checked the titles and abstracts of the papers. The complete text was thoroughly assessed, and the relevant articles were analyzed in accordance with qualifying criteria. For further original and review research, references were further reviewed. Since our targeted subject was answered by a restricted number of original research. We identified fourteen articles describing the association of ABO blood types with PD. findings of our study concluded the genetic basis of the association of ABO blood types for the development of PD. six of the research provided here showed that the blood type O can serve as a prognostic factor for the development of PD. ABO blood types and Rhesus factors can be a risk predictors in the development of PD.
Intra-articular Injection of a Dextran Polymer Combined with Antibiotic Medications for Bacterial Infective Arthritis in Dogs: 14 Cases
Authors: Lazarus Matthew A. , Kim Stanley E. , Lewis Daniel D. , Johnson Matthew D.
Published: November 2021

Objectives The aim of this study was to describe the use of an intra-articular delivery of a dextran polymer (IADP) for bacterial infective arthritis in dogs.

Materials and Methods Cases of bacterial infective arthritis treated with IADP were reviewed. Resolution of infection was based on joint fluid cytology. Lameness scores, total nucleated cell counts, and per cent neutrophils were monitored throughout treatment.

Results There were 14 dogs included in the study. The stifle was the most commonly affected joint. The median number of injections per dog was 3 with a median of 2 weeks between injections. Amikacin was combined with the dextran polymer in 13 cases and imipenem was used in 1 case. Concurrent oral antimicrobials were used in 12/14 cases, and surgery for infection was performed in 10/14 cases. Cytological evidence of infection resolved in 11/14 cases. Median lameness scores throughout treatment decreased from severe (grade ¾) at initial presentation to mild (grade ¼) at the final recheck. Median total nucleated cell counts and per cent neutrophils decreased from 40,000 white blood cell/µL and 91% to 2,200 white blood cell/µL and 4% respectively. A transient worsening of lameness was the main side effect documented in 5/14 cases.

Conclusion Intra-articular dextran polymer combined with antimicrobials was generally well tolerated; however, the efficacy of IADP was unknown in this population since most dogs received concurrent oral antimicrobials and/or surgery.
Postthrombotic Syndrome and Chronic Pulmonary Embolism after Obstetric Venous Thromboembolism
Authors: O'Shaugnessy Fergal , Govindappagari Shravya , Huang Yongmei , Syeda Sbaa K. , D'Alton Mary E. , Wright Jason D. , Friedman Alexander M.
Published: November 2021

Objective While the majority of venous thromboembolism (VTE) during pregnancy events resolve with anticoagulation, long-term complications may occur including (1) postthrombotic syndrome and (2) chronic pulmonary embolism. The objective of this study was to determine risk of these two complications.

Study Design A retrospective cohort study using the MarketScan databases was performed on deliveries from 2008 to 2014. We identified women aged 15 to 54 years diagnosed with acute VTE during pregnancy, the delivery hospitalization, or ≤60 days postpartum who received at least one prescription postpartum for anticoagulants. Risks of (1) chronic PE and (2) postthrombotic syndrome were evaluated for women at 6, 12, 24, and 60 months after delivery hospitalization through 2017 via the International Classification of Diseases, 9th/10th Revision, Clinical Modification codes.

Results Of 4,267 of 4,128,900 pregnancies complicated by VTE, the majority had DVT alone (61.8%, n = 2,637), while 25.8% had PE alone (n = 1,103) and 12.4% (n = 527) had both DVT and PE. Of the entire cohort, 3,328 retained insurance coverage at 6 months, 2,823 at 12 months, 2,161 at 24 months, and 831 at 60 months. Restricted to DVT, risk of postthrombotic syndrome was 0.7% at 6 months (n = 17), 1.1% at 12 months (n = 22), 1.7% at 24 months (n = 26), and 2.7% at 60 months (n = 16). Among women with PE diagnoses, the risk of chronic PE was 2.4% at 6 months (n = 30), 3.3% at 12 months (n = 36), 4.2% at 24 months (n = 36), and 7.2% at 60 months (n = 24).

Conclusion In comparison to the general population, the risk of postthrombotic syndrome was lower. In comparison, the risk of chronic PE was similar to the estimates in the general population at comparable time points after PE events. For women with obstetric PE, it may be appropriate to be vigilant for findings and symptoms associated with chronic PE.

Key Points
Prozessoptimierung: Krankenhauslogistik als Bindeglied
Authors: Pott Ariane
Published: November 2021

Auf dem Krankenhauslogistik-Seminar der Dynamed GmbH trafen sich auch in diesem Jahr rund 100 Teilnehmerinnen und Teilnehmer, um sich über innovative Projekte auszutauschen. Holger Weise, Prokurist des Unternehmens, gibt Einblicke in die Themenvielfalt.
The disinformation playbook: how industry manipulates the science-policy process—and how to restore scientific integrity
Authors: Reed Genna , Hendlin Yogi , Desikan Anita , MacKinney Taryn , Berman Emily , Goldman Gretchen T.
Published: November 2021

For decades, corporate undermining of scientific consensus has eroded the scientific process worldwide. Guardrails for protecting science-informed processes, from peer review to regulatory decision making, have suffered sustained attacks, damaging public trust in the scientific enterprise and its aim to serve the public good. Government efforts to address corporate attacks have been inadequate. Researchers have cataloged corporate malfeasance that harms people’s health across diverse industries. Well-known cases, like the tobacco industry’s efforts to downplay the dangers of smoking, are representative of transnational industries, rather than unique. This contribution schematizes industry tactics to distort, delay, or distract the public from instituting measures that improve health—tactics that comprise the “disinformation playbook.” Using a United States policy lens, we outline steps the scientific community should take to shield science from corporate interference, through individual actions (by scientists, peer reviewers, and editors) and collective initiatives (by research institutions, grant organizations, professional associations, and regulatory agencies).
‘Who contributes more?’ How Ukrainian media construed migrants’ life strategies vs. what the Ukrainian public wanted to know
Authors: Yuzva Liudmyla , Tashchenko Anna
Published: November 2021

Having chosen the topic of active contribution to social life, one of the most important aspects facilitating deeper social integration, we present the results of a three-staged sociological discourse analysis of media messages related to migrants and migration. In our study, we consistently used a number of methods — a quantitative and qualitative content analysis, semantic analysis, discourse positions’ analysis, critical discourse analysis, and an in-depth analysis of focus group interviews. The combination of them all helped us reveal specific details of media image constructing as well as requests for information on migrants’ life strategies. We took into account media discourse in fifteen top Ukrainian media over the span of time between 2015 and 2018, focusing on the differences between media discursive strategies based on the form of ownership (state/private), audiovisual type (printed/TV/Internet) and the degree of trustworthiness/popularity of the media among Ukrainians, the actors that had the advantage of being quoted in the media and the groups of migrants being displayed to practice certain active or passive life strategies. The messages with implicit meanings regarding the active migrants’ life strategy were less present in the state-controlled top media and the most trusted/popular top media. Similarly, the messages with implicit meanings regarding both the active and passive migrants’ life strategies featured less frequently in the top printed media. In the context of understanding ‘goodness’ as equivalent to ‘activity’, we found that in the top Ukrainian media there were two ‘good’ categories of migrants: first, internal migrants in Ukraine and, second, migrants from Ukraine (Ukrainian emigrants). However, it turned out that the first place regarding the presence of implications about ‘passivity’ (i.e., ‘badness’) went again to internal migrants in Ukraine. The opinions held by Ukrainians about what the media should have shown were clearly in favor of what migrants were offered by their destination society (thus, in favor of ‘passive’ media image), and all that the Ukrainians would like to see and hear included both favorable and unfavorable objective social life conditions.
Subtractive 3D printing using cellulose
Authors: Cockshott Anne
Published: November 2021

Cellulose used in complex 3D patterning
The size, structure and efficiency of Mongolian flocks and herds on degraded grasslands
Authors: Jargalsaihan Gantuya , Gombosuren Udval , Kemp David R. , Behrendt Karl , Lkhagvasuren Davaasambuu , Gankhuyg Luvsan , Brown Colin G.
Published: November 2021

Since 1990, the number of livestock in Mongolia has more than doubled. In large areas of Mongolia, grassland degradation is now a problem of national concern. A survey was done of 10 herders in two Soums (Altanbulag and Khashaat; heavily and moderately degraded, respectively) to measure the animals (sheep, goats, cattle and horse numbers, sex and weights) and grasslands (species and biomass) every 3 months from April 2017 to December 2018. Rainfall is mostly in summer and mean monthly temperatures vary from –20 to 20°C. Throughout the study, the grassland herbage mass in summer was less than 0.5 t dry matter/ha, below that considered sustainable for the steppe. Herders had 200–1000 sheep equivalents (SE, 50 kg base weight), moved camps 2–4 times each year and stocking rates varied from 0.5–1 SE/ha. Female animals reached their mature weights by 4 years of age (sheep 50 kg, goats 40 kg, cattle 350 kg, horses 300 kg). Animals only grew over summer, but a significant part of that was compensatory gain in animals >1 year old. Over winter, sheep and goats lost 21–29% of their liveweight, cattle and horses 15–30%. The weaning rate was 43–48% across species. The male:female ratio (>2 years old) was sheep 63%, goats 72%, cattle 27% and horses 106%. All animals are managed in common mobs with no particular control of breeding. Areas where the efficiency of livestock production and grassland productivity could be improved are discussed.
Handling language
Authors: Tellier Marion , Stam Gale , Ghio Alain
Published: November 2021

This paper addresses the question of how speakers adapt their gestures according to their interlocutor’s
proficiency level in the language of the interaction especially in the specific context of foreign language teaching. We know that
speakers make changes in their speech when addressing a non-native speaker, called Foreigner Talk (Ferguson, 1975) to make their speech more comprehensible. However, whether and how
gestures are also modified along with speech has hardly been addressed in the literature. In this study, we examined the speech
and gesture of future teachers of French in a word explanation task to see what types of adjustments they made when explaining a
word to a native speaker and a non-native speaker. We had ten future teachers of French explain the same 12 words to a native and
a non-native speaker of French and compared the explanations. We found that the future teachers produced significantly more
gestures, significantly longer gestures in duration, significantly more illustrative (iconic and deictic) gestures, and
significantly larger gestures when addressing a non-native interlocutor. These results show that native speakers make not only
speech adjustments but also gesture adjustments in addressing non-native speakers.
Characterization and sex‐related differences in the multi‐location external workload profile of semiprofessional basketball players. A cross‐sectional study
Authors: Gómez‐Carmona Carlos D. , Mancha‐Triguero David , Pino‐Ortega Jose , Ibáñez Sergio J.
Published: November 2021

Commonly, the monitoring of external workload has been performed using a single device on player's scapulae. The human body is a complex multi‐articular system and quantification in a single location is insufficient, being necessary the assessment in multiple body locations simultaneously. Therefore, this study aimed to characterize the multi‐location external workload in men's and women's players and to analyze the sex‐related differences during the most common movements in basketball. Twenty‐six semi‐professional basketball players (n = 13 men, n = 13 women) were evaluated in five tests: linear and curvilinear movements, changing of speed, jumping and in‐game movements. PlayerLoadRT was evaluated at six anatomical locations simultaneously (scapulae, lumbar region, knees, and ankles) with WIMU PROTM inertial devices attached to the athlete using a full‐body skinsuit. Statistical analysis was composed of a t‐test of independent measures and Coheńs d effect size. The main results indicated: (1) the type of movement modified the external workload supported by the musculoskeletal structures; (2) sex‐related differences were found in the vertical absorption of external workload (p < 0.05); (3) no sex‐related differences were shown in the horizontal profile (p > 0.16). The multi‐location monitoring will allow the identification of musculoskeletal structures with high vertical absorption of external load depending on sex (men > women: scapulae‐lumbar and knee‐ankle; women > men: lumbar‐knee) and type of movement (scapulae‐lumbar: decelerations; lumbar‐knee: jumping; knee‐ankle: in‐game), just like horizontal differences in lower limb (outer > inner leg: curvilinear). Equally movements distribution throughout training sessions, strengthening and recovery programmes of high‐workload muscle groups according to player's characteristics could contributed to performance enhancement and reduce injury risk.

HIGHLIGHTS

Men's and women's basketball players presented different vertical musculoskeletal absorption of external workload. Men presented higher absorption in scapulae – lumbar and knee – ankle segments while women did so in the lumbar – knee segment.

The type of movements had a direct effect in the multi‐location external workload profile.

A combined effect of sex and type of movement was found in the vertical musculoskeletal absorption of the external workload profile.

No sex‐related differences were found in the horizontal profile regarding the type of movement.
How the Chamber System at the CJEU Undermines the Consistency of the Court’s Application of EU Law
Authors: Fjelstul Joshua C.
Published: November 2021

The Court of Justice of the European Union (CJEU) uses a chamber system to more efficiently decide cases. To what extent, and under what conditions, does the CJEU’s chamber system undermine the consistency of the Court’s application of EU law? This paper contributes to the literature on the internal organization of collegial courts by presenting a computational formal model that predicts (a) that hearing cases in smaller chambers undermines the consistency of the Court’s application of EU law and (b) that the magnitude of this effect is larger when judges’ preferences are more heterogeneous and smaller when plaintiffs strategically bring cases. Based on these findings, I use machine learning and empirical data on CJEU judgments in infringement cases to estimate the degree to which we should expect the chamber system to undermine the consistency of the CJEU’s application of EU law in practice.
A Novel Adaptive Multi-time Scale Joint Online Estimation Method for SOC and SOH of Lithiumion Batteries
Authors: Chen Weibo , Ying Huijuan
Published: November 2021

The state of charge (SOC) and state of health (SOH) are essential indicators for estimating the performance of lithium-ion batteries. In most of the existing methods to estimate SOC and SOH through step-by-step calculation may bring obstacles to real-time prediction of battery performance. To adapt the complex and dynamic situation of the batteries and estimate SOC and SOH in an accurate and fast manner, a novel multi-time scale joint online estimation method is proposed. In order to quickly identify the battery model and estimate the battery state, SOC and SOH are evaluated on a multi time scale framework based on extended Kalman filter (EKF). To improve the accuracy of the equivalent circuit model (ECM), a variable forgetting factor recursive least square (VFFRLS) method is introduced to identify the internal parameters in the battery model. A fuzzy variable time scale EKF (FVEKF) is proposed to estimate SOC and SOH online, where the fuzzy inference engine change the time scale to increase the convergence speed especially in complex stress conditions. Database from the University of Maryland is adopted to testify the effectiveness and efficiency of the algorithm. The results demonstrate that the method has better estimation accuracy and efficiency comparing to traditional joint estimation method, and meet the requirements of real-time estimation.
Research on the Calculation Method of Harmonic Contribution in the Case of Dominant System-side Harmonics
Authors: Yang Zhaoguang , Liu Xu , Yang Jingyu , Zhang Haiping
Published: November 2021

Existing methods for quantifying the responsibility of harmonic sources assume a dominant user side and use a harmonic source equivalence circuit to calculate the equivalent system impedance and background harmonic voltage, which in turn assesses the harmonic contribution of that source to the bus of concern. For users who actively participate in harmonic governance, it is very important to evaluate the responsibility of injecting harmonics into users. This paper assumes system-side is dominant, constructs a partial linear regression model and a constant impedance model, and tracks the regression error. The equivalent fundamental impedance is doubly screened to calculate the harmonic impedance for the corresponding number of times, which in turn quantifies the harmonic voltage duty. The results of simulation and the analysis of measured data show that this method has simple calculation model, small regression error (0.0037), high accuracy and practical engineering significance.
Structural Strength Analysis of High Current Connector for Rail Transit
Authors: Kong Ruobing , Kong Zhigang
Published: November 2021

Aiming at a high current connector for rail transit, using ANSYS Workbench software for simulating the established connector model under the condition of maintaining the original assembly relationship. Analyzing the overall structural strength of the connector, and obtaining the actual stress distribution and deformation of the electrical connector with various contact relations. The error between the simulation results and the theoretical results of the bolt is within 10%. The maximum stress of each component is less than the yield strength of the material, and the plastic deformation don’t occur under the normal working condition. The overall structure of the connector meets the structural strength requirements.
Fault Location for Multi-source Distribution Network Based on Improved Chaotic Jaya Algorithm
Authors: Zhou Jian , Shi Shanshan , Cui Yong , Su Yun , Wang Min , Wu Chao
Published: November 2021

Due to the wide access of distributed energy in the distribution network, the structure of the distribution network becomes complex and diverse, and the power flow distribution is flexible and changeable. To optimize the fault location performance of the multisource distribution network, this paper proposes a power grid fault location solution method based on the improved Jaya algorithm. By combining the chaos theory with the Jaya algorithm, the individual position iteration of the algorithm is optimized to improve the algorithm’s global optimization capability and speed up the fault location. Through the example test and comparison with the traditional algorithm, the experimental results verify the effectiveness and superiority of this method.
Intelligent Test Platform for Power Metering System Software
Authors: Liu Tao , Wu Shaocheng , Ma Yue , Zhao Jie , Jiang Hefang
Published: November 2021

In order to meet the requirements of the operation and maintenance personnel for the power metering system software, when updating the software version, they can independently, quickly and effectively control the quality of the software, an intelligent test platform is designed. Based on the platform, the software operation and maintenance personnel can simply select the corresponding records from the test scripts, test cases and automatic test tools in database debugged by the third-party test team, create the test plan, click the execute button, the platform will automatically connect the selected test tool, intelligently generate a set of executable command lines, to complete the functionality or performance test of the software using the selected test script and test case, and to create the reports of software defects, then a software development team repairs the defects and then the personnel performs regression testing until the new version meets the requirements.
Research on Matter Element Model in Power Grid Analysis
Authors: Xue Yawei , Wang Xueying , Zhao Lang , Li Yizheng
Published: November 2021

With the increasing complexity of power system grid structure and development environment, the dimensions and factors that need to be considered in the power grid statu analysis also become complex. It is necessary to judge the aspects of power grid that need to be improved through the analysis results. This paper constructs an evaluation index system of power grid, including safety reliability, operation efficiency, operation margin of power grid, power grid structure and equipment level. Based on the index system, an evaluation model combining matter-element model and entropy weight method is proposed. Matter element model can not only quantitatively judge the development level of power grid, but also find out the weakness of power grid and put forward the direction of its improvement. Finally, a case study is proposed to show that the matter element model analysis in power grid comprehensive evaluation is feasible and has a good evaluation accuracy.
Research on Improved Fuzzy Evaluation Model for Power System Development Diagnosis
Authors: Xue Yawei , Peng Dong , Wang Xueying , Zhang Tianqi , Liu Hongyang
Published: November 2021

With the increase of clean-green energy connected to the power system, the development of power system becomes increasingly complicated. There are many internal and external factors that affect the planning and development of power system. Thus, it is important to evaluate and analysis the development state of the power system. This paper proposed an improved fuzzy evaluation model for power system development diagnosis which can determine the development stages and situation of the power system.
Electric Power-grid Friendly Characteristic Data Center Energy Consumption Optimization Method
Authors: Huang Tianhang , Zhai Tianyi , Zhang Xin , Di Xiaomeng
Published: November 2021

With the acceleration of the digitization process, the load of the data center on the power grid continues to increase. During the operation of the data center, the load demand on the power grid is relatively large, and the load demand on the power grid fluctuates greatly. In the Power industry, the average PUE(power usage effectiveness) of data center is above 2, which is extremely unfriendly to the power grid. This paper proposes and summarizes the optimization parameters at various levels, the energy efficiency of software and hardware, and provides a method for optimization through global variables for high-efficiency and energyconsuming data centers, which can minimize cooling energy consumption and IT energy consumption. To build a electric power grid-friendly characteristic data center with high efficiency and low energy consumption.
Reverse Modeling and Design of Radar Cat’s Eye Based on GeomagicDesign
Authors: Han Xuzhao , Kong Lin , Jin Ying , Zhang Juanrong
Published: November 2021

This paper takes the physical model of Radar Cat’s Eye as the research object, based on geomagicdesign software’s powerful reverse modeling function, the reverse modeling and design process of Radar Cat’s Eye is explained in detail. The detailed steps and main precautions of scanner calibration in the process of Radar Cat’s Eye reverse modeling are given. At the same time, the main contents of model scanning, data processing, reverse modeling, model comparative analysis and so on are also introduced and explained in detail. In short, the relevant contents of this paper provide reference and help for the reverse modeling and design of other models.
Research on Nonlinear Systems Modeling Methods Based on Neural Networks
Authors: Shi Ting , Yang Wu , Qiao Junfei
Published: November 2021

Nonlinear systems widely exist in all fields of industrial production and are difficult to model because of complex non-linearity. Neural network is widely used in process prediction, fault detection and fault diagnosis of modern industry because of the nonlinear fitting ability. Due to various structures, there exists diversity in the performance of neural networks. However, only the appropriate network can improve the efficiency and safety in modelling nonlinear industrial process, which requires full consideration of the structure of neural network. In this study, several typical structures of neural networks are compared and analysed, and the performance differences caused by these structures are presented in detail. Finally, performance differences of neural networks with inconsistent structures are verified on several experiments. The results showed that neural networks with inconsistent structures were good at dealing with different types of nonlinear systems. Our work will provide a theoretical basis in accurately modeling the industrial production process, which is beneficial to nonlinear system control.
Research on the Four-stage Drill Pipe Automatic Conveying System
Authors: Chen Hang , Xin Dezhong
Published: November 2021

The four-stage drill pipe automatic conveying system is developed to solve the problem that the capacity of the existed drill pipe conveying system is very limited, which needs workers to add drill pipes frequently during drilling and can’t fit the development of the automatic rig. The four-stage drill pipe conveying path plan of the multidirectional automatic rig is designed based on the general conveying path and the starting point normalization, and operating mechanisms are designed, including the pipe box, the transferring device, the main and the deputy mechanical arm. This plan is helpful to reduce the height of the rig by using the room below the side of the pipe box. According to the mechanism, the conveying path is adjusted adaptively to avoid interference between the conveying system and the rig. It is verified by the theoretical calculation and the model machine test that pipes can be delivered automatically and accurately by the four-stage automatic conveying system.
An Assembly Status Identification Method for Wedge Belt Automatic Assembly Based on Dynamic Feature
Authors: Zhao Qijian , Wang Yizhe , Sun Pengfei , Zhang Lianxin
Published: November 2021

The assembly of the wedge belt joint relies on the sense and experience of human, which limit the application of automatic assembly technology. In order to implement automatic assembly for higher production quality and efficiency, an assembly status identification method based on dynamic feature is proposed. The contact status of the wedge belt in assembly is analysed and the dynamic model is formulated. The dynamic features for identification are compared and the signal of acceleration is selected. The identification method of assembly status is proposed based on the acceleration signal. An experiment is designed to verify the identification method. The experiment result shows that the amplifier of the acceleration decreases much more sharply as it fits well. The proposed identification method is effective and stable, which could be used for the automatic assembly.
Dynamic Simulation Analysis and Experiment of Large-caliber Self-propelled Pipeline Crawler Based on ADAMS
Authors: Tang Yinlong , Song Huadong , Yu Yating , Zhang Jun , Hu Wenguang , Guo Xiaoting
Published: November 2021

The force states of driving wheels are different when the self-propelled pipeline crawler moves in the pipeline, so it is difficult to carry out accurate theoretical analysis and calculation on the force and output torque values of each driving wheel in horizontal, climbing and turning conditions of the crawler. Due to the complex mechanical properties of pipeline sealing and the limitation of visualization, it takes a long period and high cost to develop the robot in pipeline by experimental means. With the gradual application of virtual simulation means, the complicated dynamic analysis and solution process in the past has become relatively easy. In this paper, Solid works is used to establish a simplified model of the crawler, and ADAMS is used to analyze and simulate the dynamics of the crawler. The force of the multi-wheel driven pipeline crawler is given under the condition of horizontal, climbing 35° and turning, which provides the necessary analysis method and theoretical basis for the design optimization and improvement. Finally, the horizontal, climbing and bending motion performance of the crawler is verified by comprehensive pipeline experiment.
An Improved Automatic Shape Feature Extraction Method Based on Template Matching
Authors: Wang Xiaoqi , Zhang Jian
Published: November 2021

Image shape extraction is an important step in the image analysis, AI electronic industry and automation, as well as a significant part of content-based image retrieval(CBIR), which cannot be separated from contour extraction. However, traditional approach of the border following algorithm is susceptible to noise interference, thus the shape extracted is always complex in real images and cannot express feature of the target image well. Therefore, an improved shape feature extraction method is proposed, which converts color space into HSV model when preprocessing, filters contour by area size, merges adjacent contours by drawing convex hull and filters with template shapes. Lastly, this method is tested on UAV123 and YCB_Video dataset, which showed that the proportion of valid contour improved from less than 10% to 87.7% based on border following algorithm. In the experiment of OPenCV open source library in Visual Studio environment, we hope to improve the extraction efficiency of shape features.
Research on Region Division of Large Workpiece Based on Dexterous Workspace of Robot
Authors: Zhang Yonggui , Zhang Gan , Xu Xin , Zhao Qianqiu
Published: November 2021

In order to complete the processing of large-scale workpieces, a region division of large-scale workpieces based on robot dexterous workspace is studied. The linkage coordinate system of the robot is established by D-H method, and the forward kinematics equation of the robot is obtained; Monte Carlo method is used to analyze the workspace of the robot, and MATLAB is used to program to draw the workspace and task space of the robot; Taking an example part as the object, the feature of the part is studied, and the process of determining the task space area of the workpiece in the dexterous workspace of the robot is given, and the region of the workpiece is divided based on the size of the task space and the geometric features of the workpiece.
Research on the Correction of the Linkage Hydraulic System of the Composite Hydraulic Gripper Used in Coal Mine Rigs
Authors: Wang Qingfeng , Chen Hang
Published: November 2021

The research against the defect that the gripper of the rig using a traditional linkage hydraulic system always clips back to damage drill pipes when the rig starts to rotate is presented. The correcting solution of a kinetic pressure feedback system including a damper and an accumulator is described by establishing the transfer function of the linkage system and analysing major factors making the gripper to clip back. Taking the ZYWL-4000SY automatic rig for instance, the linkage hydraulic system after correction is compared with that of before in simulating analysis and the correcting solution is verified by both lab and field tests. The results show that the corrected gripper works well without hurting pipes and the rig operates in good and stable condition. The theoretical foundation and method are provided to design and test the linkage function of the composite hydraulic gripper of other similar rigs.
Design of Intelligent Fermentation Mixer Based on PLC
Authors: Zhang Lin , Wu Di , Shi Hao
Published: November 2021

Aiming at different types of organic fermentation environments, an intelligent fermentation mixer that can be controlled and monitored at multiple points is designed. The system is mainly composed of PLC, inverter, servo motor, touch screen, temperature and humidity detection module, STM32 acquisition module, HMI, cloud server and other units. After completing the electrical design, software design and mechanical structure design of the system, the whole system was debugged. The results showed that the system was operating normally and its functions basically met the original design requirements. The system adjusted the feedback network and algorithm to improve the organic fermentation environment. The control has better stability.
Multi-input Convolutional Neural Network Fault Diagnosis Algorithm Based on the Hydraulic Pump
Authors: Zhang Lishan , Han Lei , Meng Yuzhen , Zhao Wenkui
Published: November 2021

Convolutional neural network used in fault diagnosis can effectively extract fault features in vibration signals. However, in the feature extraction of mechanical fault diagnosis, usually more than two feature signals including at least axial and radial vibration signals can be extracted. This paper proposes two multi-input convolutional neural network models based on the fault data of the aircraft hydraulic pump including axial and radial vibration. The first is the Independent Input Multi-input Convolutional Neural Network model. The two inputs are respectively used for convolution pooling operation with CNN, and are combined through the concatenate function before the fully connected layer, and then all frames are integrated and flattened by the flatten function. A one-dimensional array, finally enters the fully connected layer and outputs the result through the softmax function. The second is the Combined Input Multiinput Convolutional Neural Network, that is, combine two one-dimensional signals into a twodimensional signal in the input layer of the convolutional neural network and then perform convolution pooling, and finally output the result through the softmax function. The results show that the two models have good accuracy and stability, and the second one has a higher convergence and fitting efficiency than the first one.
Discussion and Analysis on Operation Reliability of DC Oil Pump in Thermal Power Unit
Authors: Si Ruicai , Hu Wenfei , Wang Songhan , Wang Zhongyan , Liu Xiwen , Jia Li
Published: November 2021

In recent years, some power plants in China can’t start the DC oil pump normally in emergency due to the faults of DC oil pump power supply system and imperfect control circuit. It caused the turbine to cut off the oil and burn the Bush, which caused a serious accident. In view of the importance of DC oil pump, this paper analyzes the interlock logic, start stop permission, direct circuit and power system configuration of DC oil pump, put forward the treatment measures. It is of great significance to prevent the oil cut-off and Bush burning accident of steam turbine.
Simulation on Influence of Wall Thickness and Probe Channel Numbers on the Examination Rate of Oxides Blocking Ratio in non-Ferromagnetic Tubes
Authors: Cui Lun , Du Haoyang , Zhu Daming
Published: November 2021

Oxides accumulated in the inner bend of austenite heating tubes of super critical units may cause overheat and bursting. Traditional methods could not examine oxides blocking ratio. A magnetic field simulation of the boiler tube’s oxide skin blockage model has been set up in this paper. The influence of different wall thickness and different accumulation of oxide on the distribution of magnetic field was analyzed. It was demonstrated that the blockage oxide scale could be quantitatively measured by the amplitude and distribution of magnetic field.
An Application Process of Additive Manufacturing Based on Digital Simulation and BESO Topology Optimization
Authors: Liu Wangjia , Liu Bingshan , Wang Gong
Published: November 2021

Additive manufacturing has now entered a wide range of areas and plays an important role. There are many factors affecting the application of additive manufacturing, such as the amount of printing supplies, print product strength, print speed and so on. These factors potentially hinder the application of additive manufacturing in some typical areas, such as spare parts producing for on-orbit maintenance in space environments. Based on the improvement of the above factors, an additive manufacturing application process based on topology optimization of variable density method and digital simulation was proposed. Print volume of product was used as an explicit constraint, and the design goal of the product, such as strength and modal, was transformed into implicit stress constraints in the topology optimization of three-dimensional model, then stress constraints were independently extracted for secondary verification, finally the checked model is put into print. This process saves computational resources during optimization calculations and printing time, reduces print product’s weight, conserves supplies, and meets initial strength or modal design goals. This process greatly exploited the advantages of additive manufacturing in product manufacturing and made up for the shortcomings of traditional manufacturing processes that can not directly output a relatively abstract model after topological optimization. Under the constraints of saving material and increasing strength, it becomes optimum solution in the manufacture of specific products.
Classification and Application of Tight Gas Wells Based on Cluster Analysis
Authors: Cai Zhenhua , Zuo Chuanshuai , Zhu Jianying , Qin Peng , Duan Baojiang , Song Wenrong , Wang Jiaqi
Published: November 2021

The tight gas field is greatly affected by pressure in the development process. Due to the different production time and formation pressure of each well in the gas field, the production characteristics of the gas well are obviously different. After the gas well sees water, it is impossible to formulate production measures efficiently and accurately. Therefore, by analyzing the production performance characteristics of gas wells, this paper carries out the classification research of tight gas wells, and formulates the corresponding production measures according to the classification results. Taking gas well energy and liquid production intensity as the reference standard of gas well classification, the dynamic parameter indexes characterizing gas well energy and liquid production intensity are established. Gas wells with different production characteristics are divided into six categories by clustering algorithm: high energy-low liquid, high energy-high liquid, medium energy-low liquid, medium energy high-liquid, low energy-low liquid, low energy-high liquid. Then the classification method of tight gas well is formed. In this paper, 50 wells in Linxing block are selected as the research object. The research results show that most of the wells in Linxing block are located in area V, belonging to low energy and low liquid wells. It is recommended to implement intermittent production. The classification based on gas well energy and liquid production intensity are of guiding significance for the formulation of production measures in the Linxing block.
Perception and innovativeness level of farmers on the integration system of rice and cattle farming
Authors: Mulyono J , Suryana A T , Suryana E A
Published: November 2021

Farmers’ perceptions of the disseminated technology influence the speed and rate of its adoption. The integration system of rice and cattle farming, named SITT, was developed to increase rice and beef production based on a zero-waste concept. Information on farmers’ perceptions of the SITT technology’s characteristics is needed to improve the technology. This study analyzed farmers’ perceptions of the SITT technology’s characteristics, social characteristics, economic capabilities, and innovativeness level. This research was carried out in October 2018 in Serdang Bedagai District, North Sumatra. Data were collected through interviews using a structured questionnaire to 40 farmers who applied the SITT technology and selected purposively. Data were analyzed using qualitative and quantitative descriptive methods. The result proved that, in general, the farmers’ perceptions of the SITT technology have a greater relative advantage, compatibility, trialability, observability, and less complexity. Most of the farmers are not involved in the farmer group’s management (94.9%). Farmers stated that the financing source for farming activities was their capital (55.0%). The level of farmers’ innovativeness concluded that 43.6% of farmers were in the late majority group. The acceleration of SITT technology needs to be carried out continuously with methods following the specifics of the location and the farmers’ level of innovation. This dissemination activity will provide assurance and trust to farmers in SITT technology to be applied in their farming activities to increase production, productivity, and profits.
Impacts of the COVID-19 pandemic on food and nutrition security in Indonesia
Authors: Suryana A , Hartono M D , Suryana M R
Published: November 2021

The COVID-19 pandemic has negative impacts on the achievement of sustainable development goals (SDGs) goal number 2: Zero Hunger. The poor and temporary unemployed, due to pandemic, experienced the hardest hit. Objective of this study is to analyze the impacts of the pandemic on the achievement of the SDGs goal 2, especially the targets 2.1 and 2.2 (universal access to safe and nutritious food and end all forms of malnutrition). The scope of this study was at the country level, and data used were from Badan Pusat Statistik (BPS/Statistics Indonesia) and related ministries for the 2015‒2020 period. Data were analyzed using a qualitative and quantitative descriptive approach. This study indicated that the pandemic disrupted the improvement of food and nutrition security in Indonesia that has been achieved until 2019. Compared to the previous year, in 2020, the prevalence of undernourishment (8.34%) and food quality consumed measured by the desirable dietary pattern (86.3) worsened, and the prevalence of food insecurity experience scale (5.12%) decreased but at a slower rate. The low-income households and families headed by a women or disabilities were among the most vulnerable groups in maintaining food security. The government social assistance programs distributed timely have resulted in positive impacts in easing the burden. Since the pandemic has not ended yet, the social safety net programs should be extended and the government’s effort to maintain food supply and price stabilization should be continued.
Scheme to support coconut replanting program on smallholder plantation
Authors: Wulandari S , Alouw J C
Published: November 2021

Coconut plantations are dominated by smallholders characterized by limited land area, low productivity, and low added value. The low productivity is partly due to the old age of the plants. The performance of coconut plantations can be improved, among others, through replanting smallholder plantations, but the implementation is still low, mainly due to financing constraints. This study aims to develop a financing scheme to support coconut replanting programs in smallholder plantations. The analysis used is Interpretative Structural Modelling for strategy mapping. The strategy for accelerating the smallholder coconut replanting program is related to developing the seed system, capacity building of farmers and farmer organizations, and technology support. The implementation of coconut replanting consists of nursery establishment, seed distribution, and planting and cultivation management. The financing scheme is a replanting financing method that includes the provision of funds, the scope of the use of funds, and the mechanism for using funds. Various financing models were built, consisting of the Self-Financing Scheme, the Companion Fund Financing Scheme, and the Program-Based Financing Scheme. These various schemes accommodate variations in conditions in coconut development centers in Indonesia. Through the financing scheme, it is also possible to map the roles of each stakeholder involved.