Traditional Evaluation Research Articles

Research on the Evaluation of Moral Education Effectiveness and Student Behavior in Universities under the Environment of Big Data.

Traditional moral evaluation relies on artificial and subjective evaluation by teachers, and there are subjective errors or prejudices. To achieve further objective evaluation, students' classroom performance can be identified, and the effectiveness of moral education can be evaluated based on student behavior. Since student classroom behavior is random and uncertain, in order to accurately evaluate its indicators, a large amount of student classroom behavior data must be used as the basis for analysis, while certain techniques are used to filter out valuable information from it. In this paper, an improved graph convolutional network algorithm is proposed to study students' behaviors in order to further improve the accuracy of moral education evaluation in universities. The technique of video recognition is used to achieve student behavior recognition, thus helping to improve the quality of moral education evaluation in colleges and universities. First, the multi-information flow data related to nodes and skeletons are fused to improve the computing speed by reducing the number of network parameters. Second, the spatiotemporal attention module based on nonlocal operations is constructed to focus on the most action discriminative nodes and improve the recognition accuracy by reducing redundant information. Then, the spatiotemporal feature extraction module is constructed to obtain the spatiotemporal association information of the nodes of interest. Finally, the action recognition is realized by the Softmax layer. The experimental results show that the algorithm of action recognition in this paper is more accurate and can better help moral evaluation.

ObReco-2: Two-step validation of a tool to assess memory deficits using 360° videos.

Traditional neuropsychological evaluations are usually carried out using psychometric paper and pencil tests. Nevertheless, there is a continuous discussion concerning their efficacy to capture life-like abilities. The introduction of new technologies, such as Virtual Reality (VR) and 360° spherical photos and videos, has improved the ecological validity of the neuropsychological assessment. The possibility of simulating realistic environments and situations allows clinicians to evaluate patients in realistic activities. Moreover, 360° photos and videos seem to provide higher levels of graphical realism and technical user-friendliness compared to standard VR, regardless of their limitations in terms of interactivity. We developed a novel 360° tool, ObReco-2 (Object Recognition version 2), for the assessment of visual memory which simulates a daily situation in a virtual house. More precisely, patients are asked to memorize some objects that need to be moved for a relocation. After this phase, they are asked to recall them after 15 min and later to recognize them in the same environment. Here we present a first study about the usability of ObReco-2, and a second one exploring its clinical efficacy and updated usability data. We focused on Free Recall and Recognition scores, comparing the performances obtained by the participants in the standard and the 360° test. The preliminary results support the use of 360° technology for enhancing the ecological value of standard memory assessment tests.

Study on Subjective Evaluation of Acoustic Environment in Urban Open Space Based on "Effective Characteristics".

With the continuous expansion of urban scale with dense population and traffic and the gradual improvement of residents’ requirements for environmental quality, the traditional evaluation method relying on acoustic energy is not enough to reflect the feelings of urban crowds about acoustic environment quality. The acoustic environment quality evaluation method based on human subjective perception has gradually become one of the research focuses in the field of environmental noise control. In recent years, various subjective and objective acoustic characteristic parameters have been introduced into the study of acoustic environment assessment in the global literature. However, the extraction of “effective characteristics” from a large number of physical and psychoacoustic characteristics contained in acoustic signals and the creation of a scientific and efficient subjective evaluation model have always been key technical problems in the field of acoustic environment evaluation. Based on subjective human perceptions, the overall acoustic environment quality evaluation of urban open spaces is studied in this paper. Based on the “effective characteristic” parameters and the subjective characteristic proposed in the previous research, including equivalent continuous A-weighted sound pressure level (LA), the difference between median noise and ambient background noise (L50 − L90), Sharpness (Sh), as well as satisfaction (Sat), the multivariable linear regression algorithm is used to further study the intrinsic correlation between the proposed “effective characteristics” and subjective perception. Then, a satisfaction evaluation model of the acoustic environment based on “effective characteristics” is built in this paper. Furthermore, the soundwalk evaluation experiment and the MATLAB numerical simulation experiment are carried out, which verify that the prediction accuracy of the proposed model is more than 92%, the consistency of satisfaction level is more than 88%, as well as the changes in the values of Sh and L50 − L90 have a significant impact on the satisfaction prediction of the proposed model. It shows that the proposed “effective characteristics” more comprehensively describe the quality level of the regional acoustic environment in urban open space compared with a single LA index, and the proposed acoustic environment satisfaction evaluation model based on “effective characteristics” has significant accuracy superiority and regional applicability.

Formative evaluation: a reflection of the didactic process

In the educational field, there is still a problem regarding the evaluation in the classroom by teachers from the ignorance of the concepts and their importance in educational training to solve the problems related to traditional evaluation, which only focus quantitatively and without didactic intentionality. The objective of the article was to carry out a literary review referring to formative evaluation, conceptual management and the application in the development of the teaching-learning process. The methodology focused on documentary research and the study approach was qualitative. It is concluded that it is necessary to broaden the theoretical vision of formative evaluation, deepen the conception from the teacher's reflection and its application in the teaching-learning process. Finally, the theoretical contribution focuses on motivating those interested in the outlined thematic axis.

Grid-Scale Regional Risk Assessment of Potentially Toxic Metals Using Multi-Source Data

Understanding the risks posed by potentially toxic metals (PTMs) in large regions is important for environmental management. However, regional risk assessment that relies on traditional field sampling or administrative statistical data is labor-intensive, time-consuming, and coarse. Internet data, remote sensing data, and multi-source data, have the advantage of high speed of collection, and can, thereby, overcome time lag challenges and traditional evaluation inefficiencies, although, to date, they are rarely applied. To evaluate their effectiveness, the current study used multi-source data to conduct a 1 km scale assessment of PTMs in Yunnan Province, China. In addition, a novel model to simulate potentially hazardous areas, based on atmospheric deposition, was also proposed. Assessments reveal that risk areas are mainly distributed in the east, which is consistent with the distribution of mineral resources in the province. Approximately 3.6% of the cropland and 1.4% of the sensitive population are threatened. The risk areas were verified against those reported by the government and the existing literature. The verification exercise confirmed the reliability of multi-source data, which are cost-effective, efficient, and generalizable for assessing pollution risks in large areas, particularly when there is little to no site-specific contamination information.

Continuous engineering for Industry 4.0 architectures and systems

AbstractTraditionally, the quality of a software or system architecture has been evaluated in the early stages of the development process using architecture quality evaluation methods. Emergent approaches like Industry 4.0 require continuous monitoring of both run‐time and development‐time quality properties, in contrast to traditional systems where quality is evaluated at specific milestones using techniques such as project reviews. Considering the dynamics and minimum down‐time imposed by the industrial production domain, it must also be ensured that Industry 4.0 system evaluations are continuously performed with high confidence and with as much automation as possible, using simulations, for instance. In this regard, there is a need to develop new methods for continuously monitoring and evaluating the quality properties of software‐based systems for Industry 4.0, which must be supported by automated quality evaluation techniques. In this research we analyze traditional architecture evaluation methods and Industry 4.0 scenarios, and propose an approach based on Digital Twins and simulations to continuously evaluate runtime quality aspects of the architecture and systems of industrial production plants. The evaluation is based on the instantiation of our approach for a concrete demand of an automation plant in the automotive domain.

Evaluation of English Proficiency Based on Big Data Clustering Algorithm

As one of the common languages in the world, English is playing a more and more important role in trade exchanges, cultural exchanges, and other transnational cooperation. In order to better integrate into the world and communicate with the world, China began to vigorously expand English learning as early as the late 1980s. However, with the development trend of economic globalization and cultural diversity, the traditional English ability evaluation methods are not enough to comprehensively measure individual English ability. Therefore, based on this background, this paper introduces the clustering algorithm into English ability evaluation, improves the traditional clustering algorithm represented by K -means on the basis of predecessors, and captures the evaluation data through neural network algorithm combined with the background of modern big data framework. The results show that the fuzzy logic feature mapping clustering algorithm (FLFM) proposed in this paper performs better than the traditional evaluation algorithm, and the evaluation effectiveness and comprehensiveness are improved by about 10 pt.

What will remain of the Impact Factor?

This year the new 2022 version of Clarivate’s impact factor profoundly changed the setup for some journals. Compli­cated by the pandemic, the introduction of early access into the tally of articles lead to the question of whether impact factors can still be considered the most important parameter for traditional bibliometric evaluations.

Uncoordinated Coupling Assessment of New Urbanization and Ecological Carrying Capacity in the Yellow River Basin.

Under the restriction of the national “double carbon” goal, how to realize the coordination between urbanization and low-carbon development in the Yellow River Basin is a problem worthy of attention. In this paper, a new urbanization and ecological carrying capacity evaluation index system is established to evaluate the new urbanization level and ecological carrying capacity of the Yellow River Basin. On this basis, the uncoordinated coupling level of new urbanization and ecological carrying capacity in the Yellow River Basin is measured by using the improved uncoordinated coupling model, and its temporal and spatial characteristics and internal impact mechanism are analyzed. The study shows that the new urbanization and ecological carrying capacity of the Yellow River Basin has a benign development trend as a whole. Shandong province belongs to the low-level uncoordinated coupling type; Gansu Province and Qinghai Province belong to the running-in uncoordinated type; and Shanxi Province, the Inner Mongolia Autonomous Region, Shaanxi Province, and the Ningxia Hui Autonomous Region belong to the antagonistic uncoordinated coupling type. The uncoordinated coupling degree between new urbanization and ecological carrying capacity in the Yellow River Basin has a spatial interaction effect. It presents a low-level cluster centered on Shaanxi Province and Shandong Province and a high-level cluster centered on Gansu Province, Qinghai Province, and the Ningxia Hui Autonomous Region. From the perspective of the internal main impact mechanism, water resources have a two-way impact on the development of the two systems of new urbanization and ecological carrying capacity; the number of permanent residents and the level of scientific and technological investment have a one-way impact on the process of new urbanization; and the green coverage rate of built-up areas has a one-way impact on the development of ecological carrying capacity. The main contributions of this paper are as follows. First, the evaluation index system of new urbanization and ecological carrying capacity has been improved in combination with the new development concept. The evaluation of new urbanization by this index system is more in line with the current national requirements for high-quality development. Second, the impact of potential resources and human regulation has been added to the traditional ecological carrying capacity evaluation index system, and the evaluation of ecological carrying capacity by this index system is more in line with reality. Thirdly, taking the time effect into account, an improved uncoordinated coupling method is proposed. Using this method to evaluate the relationship between systems is conducive to bringing the dynamic relationship within the system into the evaluation system, which is more in line with the reality of system changes. Fourth, from the perspective of problem diagnosis, research on the relationship between new urbanization and ecological carrying capacity will help to find the internal mechanism that affects the coordinated development of new urbanization and ecological carrying capacity in the Yellow River Basin. This method is universal for exploring the internal influence mechanism of the relationship between systems.

Super-resolved fluorescence imaging of peripheral nerve

Traditional histopathologic evaluation of peripheral nerve employs brightfield microscopy with diffraction limited resolution of ~ 250 nm. Though electron microscopy yields nanoscale resolution of the nervous system, sample preparation is costly and the technique is incompatible with living samples. Super-resolution microscopy (SRM) comprises a set of imaging techniques that permit nanoscale resolution of fluorescent objects using visible light. The advent of SRM has transformed biomedical science in establishing non-toxic means for investigation of nanoscale cellular structures. Herein, sciatic nerve sections from GFP-variant expressing mice, and regenerating human nerve from cross-facial autografts labelled with a myelin-specific fluorescent dye were imaged by super-resolution radial fluctuation microscopy, stimulated emission depletion microscopy, and structured illumination microscopy. Super-resolution imaging of axial cryosections of murine sciatic nerves yielded robust visualization myelinated and unmyelinated axons. Super-resolution imaging of axial cryosections of human cross-facial nerve grafts demonstrated enhanced resolution of small-caliber thinly-myelinated regenerating motor axons. Resolution and contrast enhancement afforded by super-resolution imaging techniques enables visualization of unmyelinated axons, regenerating axons, cytoskeleton ultrastructure, and neuronal appendages of mammalian peripheral nerves using light microscopes.

Cross Border Supply Chain Coordination Evaluation Model of biotech Logistics Industry based on Big Data Drive

Aiming at the low evaluation coordination degree of the traditional cross-border supply chain coordination evaluation model of biotech logistics industry, a cross-border supply chain coordination evaluation model of biotech logistics industry based on big data drive is designed. By establishing the cross-border supply chain coordination evaluation index system of the biotech logistics industry, calculating the reliability of the evaluation index, extracting the cross-border supply chain coordination evaluation data of the biotech logistics industry based on big data drive, establishing the weight of the supply chain coordination evaluation index, using the coordination capability function to realize the cross-border supply chain coordination evaluation of the biotech logistics industry, and obtaining a complete evaluation model. The experimental results show that the coordination degree of the designed evaluation model is significantly higher than that of the control group, which can solve the problem of low evaluation coordination degree of the traditional cross-border supply chain coordination evaluation model of biotech logistics industry.

Sentimental Analysis of Product Rating

The Consumer reviews are frequently regarded as crucial resources in e-commerce systems since they capture users experiences, sentiments, and purchasing intentions. All of this data may include comments and viewpoints expressed by consumers about various topics. Numerous studies have revealed that people who share similar attitudes toward things are more likely to trust one another. Because a product can be designed for multiple e-commerce websites, the reviews on Steam are more reliable as a result. In Steam, user reviews include the following information: 1) Product name, 2) Product reviewer information, including username, delivery address, products reviewed, and reviewed date, 3) Review text, 4) Review summary (Recommended/Not Recommended), and traditional manual rating 5) The percentage of other users Helpful and Not Helpful ratings, and 6) Other users comments on the product reviews. The automated five-star rating replaces the traditional manual evaluation and uses sentiment analysis of the review. Context based anomaly detection is done to remove irrelevant portions of each review. Selective-feature analysis is performed to assist vendors as well as buyers. Therefore Threshold was set using more complex criteria that involves purchase patterns. Results obtained from the proposed model is ideal for e-commerce websites. Model can be improved by addition of sarcasm detection algorithm which is quite challenging.

Quantitative Research on Generalized Linear Modeling of SEU and Test Programs Based on Small Sample Data

Complex integrated circuits (ICs) have complex functions and various working modes, which have many factors affecting the performance of a single event effect. The single event effect performance of complex ICs is highly program-dependent and the single event sensitivity of a typical operating mode is generally used to represent the single event performance of the circuits. Traditional evaluation methods fail to consider the cross effects of multiple factors and the comprehensive effects of each factor on the single event soft error cross section. In order to solve this problem, a new quantitative study method of single event error cross section based on a generalized linear model for different test programs is proposed. The laser test data is divided into two groups: a training set and a validation set. The former is used for model construction and parameter estimation based on five methods, such as the generalized linear model and Ensemble, while the latter is used for quantitative evaluation and validation of a single event soft error cross section of the model. In terms of percentage error, the minimum mean estimation error on the validation set is 13.93%. Therefore, it has a high accuracy to evaluate the single event soft error cross section of circuits under different testing programs based on the generalized linear model, which provides a new idea for the evaluation of a single event effect on complex ICs.

Study on the Quality Analysis and Improvement of Tennis Teaching under the Internet System

Improving the quality of tennis teaching and learning is an important part of the modernization of education in China. The limitations of traditional tennis teaching quality evaluation methods have made them controversial, and it is crucial to improve the scientific, rational, and timely evaluation of tenn is teaching quality. Therefore, it is necessary to establish a scientific and rational quality evaluation model for tennis education to evaluate the quality of tennis education. Based on the principle of constructing a perfect tennis teaching quality evaluation system, this paper analyzes the advantages and disadvantages of the previous tennis teaching quality evaluation methods and summarizes the problems existing in the current tennis teaching quality evaluation system in a university. On this basis, to break the limitations of the existing tennis teaching quality evaluation system in a university, a tennis teaching quality evaluation model based on genetic algorithm (GA) and back-propagation (BP) neural network is proposed and a more scientific reasonable tennis teaching quality evaluation system. The evaluation results of BP neural network optimization method based on adaptive mutation genetic algorithm are very satisfactory.

Enterprise financial strategy and performance management analysis based on principal component analysis

Abstract Under the condition of social and economic growth rate continues to slow down, enterprises put forward environmental protection policies from the perspective of long-term development of resource construction, and enterprises will face more and more competitive pressure. If an enterprise wants to break through its own development bottleneck and become one of the enterprises drafting national standards in the industry, it must have a comprehensive understanding of its financial strategy and performance management program. This paper studies using the principal component analysis (pca), after consulting relevant financial performance evaluation literature, based on an enterprise’s financial performance data for principal component analysis, will have access to financial performance evaluation results ranking and scoring, not only can be found that there were problems, also will use modern management theory to replace the traditional financial performance evaluation methods, Give priority to scientific and comprehensive financial indicators for performance evaluation, so as to put forward effective solutions to help enterprises to clarify their own competitive pressure and market positioning.

Same-Day Patient Consultation and Cochlear Implantation: Patient Experiences and Barriers to Implementation

This study aimed to assess the efficacy of same-day cochlear implant (SDCI) evaluation and surgery in improving patient experience. Adult CI candidates participated in this study. Education materials and communication with providers were offered via telephone, e-mail, and/or telemedicine. Patients then arrived for in-person consultation, imaging studies, and outpatient CI surgery in one visit and received a 3-month postoperative survey. Preoperative hearing, referral-to-surgery time, travel burden, and patient satisfaction were included as outcome measures. Of 35 patients who qualified, 14 were successfully contacted regarding the same-day program: 9 underwent CI, 1 enrolled but did not ultimately meet candidacy criteria, and 4 declined because of coronavirus and/or active medical conditions and did not pursue a CI. For the nine patients who underwent SDCI, mean age was 78 years, and mean preoperative consonant-nucleus-consonant score was 16% in the implanted ear. Mean referral-to-surgery time was 103 days and, after accounting for cancellations because of coronavirus, was 52 days. Mean travel distance to institution was 234 miles. Of the seven patients who completed the follow-up survey, none felt rushed for surgery, and mean program experience was rated 8.6 out of 10. Net promoter score was positive (+72), supporting high experience favorability among patients. Barriers to program expansion included patient recruitment and education, surgery scheduling, and the coronavirus pandemic. No patients declined the SDCI program to pursue traditional CI evaluation, and all patients were satisfied with their experience. The SDCI program is a feasible and successful model that overcomes barriers to implantation, including travel burden, and improves access to care.

Beyond Academic Imperialism in Comparative Studies of the Global South: Methodological Reflections

Contemporary debates on decolonisation have reluctantly forced social scientists to engage with neglected debates on race and epistemology. This article recasts these debates through methodological reflections that compare South African and Brazilian social policies by centring the interpellations of racial capitalism, poverty, inequality, and social exclusion. I conducted forty- five in-depth interviews with beneficiaries of social assistance programmes such as social grants and Bolsa Familia and with policymakers in South Africa and Brazil. Both countries offer compelling cases for comparison because they share important characteristics. How does the generation of knowledge in comparative public policy aid in advancing methodological perspectives that lead towards an imagination of a more democratic global social science? I offer a methodological reflexivity that challenges academic imperialism and underscores the importance of how local questions have global relevance in advancing an agenda for knowledge decolonisation. I achieve this by critiquing the positivist tradition in comparative sociology.

Polscy parlamentarzyści wobec pandemii COVID-19

POLISH MPS’ RESPONSE TO THE COVID-19 PANDEMIC: AN EXAMPLE OF SCIENTIFICATION OF POLITICAL DEBATE? As compared to other complex social processes, scientification of public discourse is a phenomenon which is not well described in social sciences. Frequently, the idea of scientification is understood as methodological changes within social sciences which bring them closer to natural sciences and, in this sense, is related to traditional Positivist approach. In the article, the meaning of the term has been changed in order to describe a situation in which public political discourse is being transformed in such a way that, in effect, it resembles scientific discourse. This change in understanding the meaning of the idea of scientification has been presented on the example of an analysis of Polish MPs’ statements at the beginning of the Covid-19 pandemic in Poland in 2020.

Improved Wavelength Calibration by Modeling the Spectrometer.

Wavelength calibration is a necessary first step for a range of applications in spectroscopy. The relationship between wavelength and pixel position on the array detector is approximately governed by a low-order polynomial and traditional wavelength calibration involves first-, second-, and third-order polynomial fitting to the pixel positions of spectral lines from a well known reference lamp such as neon. However, these methods lose accuracy for bands outside of the outermost spectral line in the reference spectrum. We propose a fast and robust wavelength calibration routine based on modeling the optical system that is the spectrometer. For spectral bands within the range of spectral lines of the lamp, we report similar accuracy to second- and third-order fitting. For bands that lie outside of the range of spectral lines, we report an accuracy 12–121 times greater than that of third-order fitting and 2.5–6 times more accurate than second-order fitting. The algorithm is developed for both reflection and transmission spectrometers and tested for both cases. Compared with similar algorithms in the literature that use the physical model of the spectrometer, we search over more physical parameters in shorter time, and obtain superior accuracy. A secondary contribution in this paper is the introduction of new evaluation methods for wavelength accuracy that are superior to traditional evaluation.

Automatic upper-extremity Brunnstrom Classification for Stroke Survivors with a Minimum Number of Tasks.

Motor function evaluation plays an important role in post-stroke rehabilitation. However, the traditional evaluation is subjective and laborious, which may bring a heavy burden to both physicians and stroke survivors. Therefore, an automatic and objective rehabilitation evaluation is needed to minimize the burden of physician, so as to achieve a simplified and objective evaluation process. The main purpose of this study is to investigate the minimum number of tasks for upper-extremity actions in objective assessment of stroke survivors with a Brunnstrom stage (BS) based on wearable sensing device, which can achieve a satisfactory result to reduce the burden of stroke survivors. In this study, we employed 20 stroke survivors and 7 healthy participants, performing three types of daily living activities (drinking, teeth brushing, face washing). The acceleration, angular velocity and surface Electromyography signals on five parts of the forearm were simultaneously acquired. Then, we compared the effects of each action combination under multiple classifiers. The results show that the use of a single action can achieve competitive results compared with multiple action combination classifications, and the use of K nearest neighbor (KNN) algorithm for the average recognition accuracy of face washing action shows better performance, with the highest accuracy reaching 85.65±6.21% (mean ± standard error), 23 of the 27 subjects were accurately classified. These findings indicate that the predominant qualitative assessment after stroke can be supplemented by corresponding quantitative solutions, and that stroke rehabilitation can be automated with less professional therapist involvement.