Weather Vane Research Articles

Research on the Performance Evaluation System of Teachers in X University based on Analytic Hierarchy Process

In 2019, the gross enrollment rate of higher education in China was 51.6 %, and higher education has entered a period of universalization. the gross enrollment rate of higher education in China has reached 60.2 % by 2023. The change in education methods has caused problems such as declining teaching quality and shortage of school resources in colleges and universities. College teachers are the disseminators of culture, the backbone of teaching and educating people, and a group of high-quality talents in society and colleges and universities. They are the key to improving the quantity and quality of talent training in colleges and universities [1]. In this context, the performance evaluation of college teachers is particularly important, and the performance evaluation system of college teachers is a weather vane of teacher behavior. A scientific and reasonable performance evaluation system for college teachers can effectively motivate teachers to improve their teaching ability, education ability, scientific research ability, social service ability, etc. This paper uses the Delphi method to screen and determine the evaluation indicators initially extracted, and establishes a local university performance evaluation index system that includes the first-level indicators of teacher ethics, teaching level, scientific research ability and social service, 11 second-level indicators and 29 third-level indicators. In order to verify the effectiveness of the index system, a combination of qualitative and quantitative methods is used to take X University as an example. On the premise of understanding the current status of teacher performance management in X University, the performance of teachers in X University is evaluated. Finally, the performance evaluation results of X University are analyzed, and according to the actual situation of X University, suggestions are put forward for the performance evaluation of teachers in X University from three aspects: strengthening teacher workload management, improving performance evaluation feedback mechanism, establishing teacher performance incentive mechanism, strengthening teacher social service, and improving teacher scientific research ability.

Increased power capture efficiency of large-scale wind turbines using model-free coordinated pitch, yaw, and torque control with wind direction estimation in diverse environmental conditions

Offshore large-scale wind turbine systems (LSWTS) face challenges in pitch and yaw management mainly due to unreliable wind direction measurements, delayed responses, and redundant yaw movements, reducing their optimal efficiency under various offshore renewable environmental conditions. To address this problem and increase power capture, this study introduces a model-free coordinated super-twisting pitch, yaw, and generator torque control for LSWTS under various wind speed and direction conditions. To achieve this, a dynamic model of the weather vane is first designed to accurately measure the wind directions under fluctuating wind speed and environmental conditions. At the same time, the onshore/offshore LSWTS weather vane model is formulated to operate under optimal conditions considering air density, temperature, humidity, and external disturbances. Then, super-twisting control based on an enhanced adaptive barrier function is proposed for the coordinated control operation of the pitch, yaw, and generator torque actuators for stable maximum power extraction of the offshore LSWTS. Finally, simulation and comparative studies are presented to signify the increased power capture ability of the proposed scheme for both a 4.8 MW benchmark and a 20 MW PMVG-based offshore LSWTS to verify robustness against wind gusts, direction changes, and model uncertainties.

Research on Potential Adverse Drug Reaction Forecasting Based on SAO Semantic Structure

With advances in medicine and biotechnology, the variety of available drugs has become more and more abundant. However, along with these innovations come complex adverse drug reactions (ADRs) as well. Extensive clinical trials are one of the best ways to reduce the incidence of drug reactions, but as the number of potential drug interactions grows, trials are becoming enormously time-consuming and costly. Hence, we set out to develop an alternative that could widely identify potential ADRs. Our solution is a “drug-ADR” network built from semantic subject-action-object structures, combined with complex network analysis and link prediction methods to reveal likely adverse reactions. Some similarity calculating methods also be used to improve our prediction accuracy. Evaluations of the results against the medical literature show that the predictions produced can be used as a weather vane for clinical trials, helping to save R&D time and capital costs. In addition, the framework can be used to provide useful guidance for discovering new drug indications or to inform the development of new drugs.

Особенности и проблемные аспекты функционирования социальных сетей в контексте китайской информационной политики периода пандемии

In this article, the author analyzes some features of the functioning of social networks in the context of a pandemic using the example of China. Mainly based on foreign publications, it is shown how social networks influence the phenomenon of infodemic in the context of health emergencies. This problem is considered in the context of the issue of government regulation of public opinion during a pandemic. As an example, the article cites the state’s use of social networks WeChat and Weibo in the coronavirus situation. Special attention is paid to the analysis of the “duration” criterion in the process of disseminating online opinions. The author also shows how Chinese censorship affects the dissemination of information in the context of emergency situations, demonstrating this problem using the example of information asymmetry. The COVID19 pandemic has forced us to rethink established approaches to organizing interaction between society and the state in emergency situations. It has become clear that mobile social networks can be used to improve the quality of responses to problematic situations in society and thatthe expression of public sentiment on online platforms represents a weather vane of real social trends. Social networks can both separate and unite the state and society in the fight against emergency situations.

OF2: coupling OpenFAST and OpenFOAM for high-fidelity aero-hydro-servo-elastic FOWT simulations

Abstract. The numerical study of floating offshore wind turbines (FOWTs) requires accurate integrated simulations which consider the aerodynamic, hydrodynamic, servo and elastic responses of these systems. In addition, the floating system dynamics couplings need to be included to calculate the excitation over the ensemble accurately. In this paper, a new tool has been developed for coupling NREL's aero-servo-elastic tool OpenFAST with the computational fluid dynamics (CFD) toolbox OpenFOAM. OpenFAST is used to model the rotor aerodynamics along with the flexible response of the different components of the wind turbine and the controller at each time step considering the dynamic response of the platform. OpenFOAM is used to simulate the hydrodynamics and the platform's response considering the loads from the wind turbine. The whole simulation environment is called OF2 (OpenFAST and OpenFOAM). The OC4 DeepCWind semi-submersible FOWT together with NREL's 5 MW wind turbine has been simulated using OF2 under two load cases. The purpose of coupling these tools to simulate FOWT is to obtain high-fidelity results for design purposes, thereby reducing the computational time compared with the use of CFD simulations both for the rotor aerodynamics, which usually consider rigid blades, and for the platform's hydrodynamics. The OF2 approach also allows us to include the aero-servo-elastic couplings that exist on the wind turbine along with the hydrodynamic system resolved by CFD. High-complexity situations of floating offshore wind turbines, like storms, yaw drifts, weather vanes or mooring line breaks, which imply high displacements and rotations of the floating platform or relevant non-linear effects, can be resolved using OF2, overcoming the limitation of many state-of-the-art potential hydrodynamic codes that assume small displacements of the platform. In addition, all the necessary information for the FOWT calculation and design processes can be obtained simultaneously, such as the pressure distribution at the platform components and the loads at the tower base, fairleads tension, etc. Moreover, the effect of turbulent winds and/or elastic blades could be taken into account to resolve load cases from the design and certification standards.

Analysis of Financial Fraud Cases of Le.com

Le.com (formerly LeTV), as the first online video company listed in A shares in China, which plays a role as a weather vane for the online video industry, was reported to had committed financial fraud for up to ten years from 2007 to 2016, mainly by fabricating business with related companies and third-party companies to construct a false capital cycle. On May 2, 2021, the China Securities Regulatory Commission (CSRC) issued a penalty decision. By introducing the background of Le.com and its main fraud methods, based on the three major reasons of case analysis and fraud triangle theory, this paper focuses on the problems of its ownership concentration and imperfect audit system, and analyzes the specific motivation analysis of Le.com financial fraud.

Horizontal Axis Wind Turbine Weather Vane Aerodynamic Characteristics: Delayed Detached Eddy Simulation and Experimental Approach

The known differential yaw error of horizontal axis wind turbines is clearly linked to weather vane fluctuations, arising out of the deflection of the onrushing wind flow from the rotating blades. Since the problem has not been resolved as the control systems still present this problem, it should be considered as an actual difficulty requiring deeper studies of the weather vane’s aerodynamic features, including the modeling of its deviations. This paper focuses on the computational fluid dynamics and experimental study of the aerodynamic characteristics of the weather vane located on the nacelle top of horizontal axis wind turbines. Computational fluid dynamics simulation is based on the k-ω Shear Stress Transport turbulence model and the Delayed Detached Eddy Simulation. The numerical simulation and laboratory experiment arrangements are demonstrated in detail. The new scientific results obtained during the research include the validation of the numerical experiment, demonstration of the differences in forming the wake structures for the used models on the studied angles of attack and comparison of the mean values of the moment and power spectral densities for all cases, which demonstrated a good correlation between the Delayed Detached Eddy Simulation data and the experiment. The time spent on the preparation of numerical experiments using different models was accurately estimated, to give an understanding of man-hour resources. The obtained moment values for the weather vane are applied for further mathematical modeling of the systems intended for the reduction in the differential yaw error. The applicability of the Delayed Detached Eddy Simulation approach was proved by the simulation of the aerodynamic characteristics of complexly streamlined bodies, but at the same time, it showed an extended calculation period. The results obtained during the study expand upon the experience of using numerical simulation when studying horizontal axis wind turbines and may be used to build mathematical models of yaw control systems.

Carnival in Africa

Carnival in Africa

THERMAL CONVERTER FOR HORIZONTAL WIND SPEED AND TEMPERATURE CONTROL

The most commonly used speed converter is a weather vane converter mounted on a weather vane. Provides an electrical signal about the direction of the wind using a rheostat or an electronic converter. The converter system is visible as a thermal quadrupole.

Optimization of College Students’ Employment Prosperity Index System Based on Multiple Logit Models

The employment of university graduates has always been a matter of great concern to educational administrative departments and governments at all levels. EPI (employment prosperity index) is a weather vane that reflects the situation of the labor market, and it is also an important reference for the national economic situation. This paper constructs college students’ EPI from different aspects, such as employment environment, employability, employment status, and public service, focuses on the calculation method of college students’ EPI, and obtains the general formula for calculating college students’ EPI. Based on the data obtained from a university, the EPI system is optimized by using MLM (multinomial logit model). Through empirical research, it is found that EPI, which is optimized by the system, has the function of evaluating the employment environment of college students, which not only provides macroemployment policies for the government but also provides scientific and effective employment service policies for universities.

Evaluation of Enterprise Financial Risk Level under Digital Transformation with Artificial Neural Network

With the continuous development of the national economy, enterprises have gradually entered the digital age from the industrial age, and digital transformation has become a must for enterprise survival. Digital transformation empowers the high-quality development of enterprises and puts forward higher requirements for financial risk management. The problem of enterprise financial risk is one that every business must deal with at some point during its operations. The digital age has ushered in a new era for enterprise financial risk management. Digital transformation is also a weather vane, which is beneficial to comprehensively avoid financial risks, do a good job in system defense and multiparty coordination, and can quickly and accurately manage corporate finances and solve risks in a timely manner. Starting from the background of digital transformation, this article clarifies the significance of preventing corporate financial risks in the new era. Combining it with artificial neural networks, this work proposes an intelligent method for assessing the financial risk level of enterprises in this context. This work proposes an EFRL-ResNet neural network, which is improved on the basis of ResNet. At the same time, the depth-wise separable convolution (DSConv) structure in Mobile-Net is combined with the ResNet network to build a lightweight deep neural network. Through the case of enterprise financial risk, it is verified that the method can reduce the training time of the model without losing the accuracy of grade evaluation. At the same time, this paper improves the loss function in the network model for the problem of an unbalanced number of data samples in the financial risk level assessment model.

Climate change: Will the parties unite or divide?

Climate change: Will the parties unite or divide?

Horizontal axis wind turbine yaw differential error reduction approach

The core of Wind Power, considered as one of the most dynamically developed technologies, consists primarily of the Horizontal Axis Wind Turbines (HAWT) which have a known problem of yawing error, systematically evaluated in at least 3–4 degrees. This error is caused not only by the hysteresis of chasing the wind flow direction fluctuations by yaw system, but also by periodical wind flow deviation from the rotating blades. In this research the authors have proved the yawing error phenomenon by experimental observation and numerical simulation, and have found the analytic solution to significant reduction of yawing error.The experiment with the SWT-3.6-120 HAWT nacelle based weather vane has proved the periodical nature of wind flow oscillations caused by the rotating blades. The numerical Computational Fluid Dynamics (CFD) modeling of the wakes behind the rotating blades, on the base of the Navier-Stokes equations and k-ε turbulence model, has shown the similar picture on the nacelle top, which is considered as the input signal set for the weather vane and hence a yaw system. The periodical yawing error caused by the flow deviation was named as a “differential error” of yawing.The similarity of the experimental and modeling results allowed then using the Matlab Simulink software for functional modeling of the weather vane behavior with yawing error estimation and evaluation of the corresponding power reduction. Using the series of simulation experiments it was determined that the integration of compensator with the yaw control system would lead to considerable yaw differential error reduction and increase the output power at least on 3.37%. The developed approach may become a basic method for the built-in differential yaw error reduction algorithm for any and all HAWTs.

It is Re-Written: Lessons from Chester Brown’sMary Wepton Biblical Traditions and Biblical Scholarship in the Wild

Chester Brown’s critically acclaimed 2016 graphic novel, Mary Wept Over the Feet of Jesus: Prostitution and Religious Obedience in the Bible, raises important questions about the right—and the right way—to interpret religious traditions outside sanctuary doors, and Religious Studies outside the Ivory Tower. With the help of generous notes and appendices, which take up a full third of the book, Mary Wept reworks Bible stories and biblical studies for a general audience to create a conspiracy-theory-based Christian apology for sex work. This article provides an introduction to Brown’s book and its relevant book-and-Bible-related contexts, and argues that Mary Wept represents neither Bible adaptation nor popularized biblical scholarship per se. Brown’s book is instead, I argue, best understood as a new species of “rewritten Bible” claiming the authority of scholarship as surrogate religious authority. It is therefore a pop culture weather vane of great interest to Religious Studies scholars, not least as a reminder of our public image and our professional responsibilities.

Numerical Study to Evaluate Course-Keeping Ability in Regular Waves using Weather Vaning Simulation

Numerical Study to Evaluate Course-Keeping Ability in Regular Waves using Weather Vaning Simulation

КОНСТРУКЦИЯ ЭЛЕКТРИЧЕСКОГО ОЗОНАТОРА ВОЗДУХА ДЛЯ ЖИВОТНОВОДЧЕСКИХ ПОМЕЩЕНИЙ

One of the most important tasks of animal husbandry is establishing and maintaining normalized microclimate parameters in closed livestock keeping houses: temperature, humidity, speed of air fl ows, illumination, gas composition of air, and suspended dust particles. Failure to comply with established zootechnical and veterinary-sanitary standards in a closed room, (other things being equal) can lead to a decrease in productivity, increased feed consumption per unit of production, the rapid development of pathogenic microbes, and the spread of infections. The design of an electric air ozonizer based on a corona discharge and an air ozonization system is proposed to ensure high-quality air disinfection in livestock keeping houses in accordance with sanitary standards. A distinctive novelty of the proposed design is the emitter module, made as a ceramic base, on which tungsten electrodes are fi xed in the form of a grid with a honeycomb cell. The advantages of the proposed design of an electric air ozonizer include the reliability of operation due to shutdown in case of an emergency, protection against overheating and critical concentration of ozone inside the room in one place due to a weather vane, ozone and temperature sensors, and a central control unit. The proposed design of the electric ozonation system will increase the effi ciency of disinfection and disinsection of air in industrial livestock buildings, and will also ensure a more uniform concentration of ozone throughout the room volume due to the location of ozonizers and their improved operation of the emitter in terms of performance and uniformity. Preliminary evaluative experimental studies to test the performance of the proposed electric air ozonator in a livestock keeping house with an area of 1600 m2 have shown that its design reduces the amount of microfl ora in the air from 27520 to 240 colonies/m3, while increasing ozone concentration to 0.035 mg/m3, as well as reduces the content of harmful gas impurities of hydrogen sulfi de from 0.16 to 0.0003 mg/l; ammonia – from 0.13 to 0.05 mg / l; carbon dioxide – from 10 to 0.2 mg/l.

Analysis of challenges and opportunities in the development of new energy vehicle battery industry from the perspective of patents

Thanks to China's "three verticals and three horizontals" strategy and the important deployment of new energy policies, the new energy vehicle industry has developed rapidly. The rapid development has also led to some problems. From a macro point of use, patent is an important index to reflect the technological innovation of the industry, which can provide reference for the long-term development of the industry. From the microcosmic point of office, patent is the embodiment of the strength of research and development and core competitiveness of an enterprise, and is the weather vane of its innovation layout. Therefore, this paper will use patent analysis method, collect domestic 2002-2019 new energy vehicle patent data, analyze the current situation of china's new energy vehicle industry technology innovation from China's new energy vehicle patent application number, patent application trend, patent technology features, patent application geographical distribution, patent application body and other dimensions, comprehend the automotive industry in the face of new challenges and opportunities in the process of new energy vehicle transformation, and provide some ideas for the development of China's new energy vehicle industry on the basis of analysis of relevant issues.

Estimation of parameters in multivariate wrapped models for data on a p-torus

Multivariate circular observations, i.e. points on a torus arise frequently in fields where instruments such as compass, protractor, weather vane, sextant or theodolite are used. Multivariate wrapped models are often appropriate to describe data points scattered on p-dimensional torus. However, the statistical inference based on such models is quite complicated since each contribution in the log-likelihood function involves an infinite sum of indices in $${\mathbb {Z}}^p$$ , where p is the dimension of the data. To overcome this problem, for moderate dimension p, we propose two estimation procedures based on Expectation-Maximisation and Classification Expectation-Maximisation algorithms. We study the performance of the proposed techniques on a Monte Carlo simulation and further illustrate the advantages of the new procedures on three real-world data sets.

Time-Domain Analysis of the Relative Motions Between Side-by-Side FLNG and LNGC Under Oblique Waves

Strong hydrodynamic interactions during the side-by-side offloading operation between floating liquefied natural gas (FLNG) and liquefied natural gas carrier (LNGC) can induce high risks of collision. The weather vane effect of a single-point mooring system normally results in the satisfactory hydrodynamic performance of the side-by-side configuration in head seas. Nevertheless, the changes in wave directions in real sea conditions can significantly influence the relative motions. This article studies the relative motions of the side-by-side system by using the theoretical analysis method and the numerical calculation method. Based on the three-dimensional potential theory modified by artificial damping-lid method, the frequency-domain hydrodynamic coefficients can be improved to calculate the retardation functions for the multi-body problem. An in-house code is then developed to perform the time-domain simulation of two vessels, through which the relative motions are subsequently obtained. A range of oblique waves are chosen for the extensive calculation of relative motions between the two vessels, which are further analyzed in terms of the phase shift of motion responses induced by specific resonant wave patterns. Investigation results show that wave directions have a significant influence on the relative sway, roll, and yaw motions. Under the circumstance that the absolute phase shift between the roll motions of two vessels approaches 180°, stronger relative motions are induced when LNGC is on the weather side. Moreover, the gap water resonances at high frequencies tend to cause the dangerous opposed oscillation of two vessels in the sway and yaw modes, whereas FLNG reduces the gap water resonances and relative motions when located on the weather side.

Questions of Empathy and Understanding: Monsters in Modern French Fiction

This essay suggests that fictional monsters are like weather vanes, anticipating the winds of change that have prompted successive generations to revisit fundamental questions on the nature of humanity. With examples sourced from major texts in the modern French canon by Hugo, Zola, Tournier and Darrieussecq, as well as from the recent “teleroman”, Les Revenants, it postulates that, via the agency of the narration, the reader’s (or spectator’s) contact with the monster is profoundly affective. The argument is upholstered with recent research on the extent to which responses to such fictional encounters are modulated by empathy.