bluuebunny/crossref_metadata_2025_split huggingface dataset:
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

Abstract
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
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

AbstractFor 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

AbstractHaving 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.
Handling language
Authors: Tellier Marion , Stam Gale , Ghio Alain 
Published: November 2021

Abstract
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

ABSTRACTCommonly, 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

AbstractThe 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

Abstract
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

Abstract
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

AbstractAiming 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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.