Degree Of Importance Research Articles

The Importance Degree of National Education School Teachers Training Who are Non-Professionally Qualified in the Light of Professional Accreditation Standards

The Importance Degree of National Education School Teachers Training Who are Non-Professionally Qualified in the Light of Professional Accreditation Standards

Constructing Ecological Networks for Mountainous Urban Areas Based on Morphological Spatial Pattern Analysis and Minimum Cumulative Resistance Models: A Case Study of Yongtai County

In order to alleviate the increased habitat fragmentation caused by the accelerating urbanization and ecological deterioration, constructing ecological networks is an effective way to improve ecological connectivity, facilitate regional energy flow, and promote biodiversity enhancement. In this study, Yongtai County was taken as the research object, and the morphological spatial pattern analysis (MSPA) method was used to analyze the landscape pattern, identify the ecological source sites, classify the ecological source sites according to the importance degree by possible connectivity index (PC) and the Delta values for probability index of connectivity (dPC), and then construct the potential ecological corridors with the help of the minimum cumulative resistance (MCR) model to generate the ecological network, and then put forward the optimization strategy according to the current situation. The results show that (1) the core area of Yongtai County is 1071.06 km2, the largest among all landscape types, with a fragmented distribution, high degree of fragmentation, and poor connectivity, mainly in the east and southwest, and sparser in the middle. (2) The area of highest resistance value is mainly located in the built-up areas of towns and rural settlements in the central and northwestern parts of the country; the lowest value is distributed in the southwest and southeast, and the land use mode is mainly expressed as woodland. (3) The ecological network consists of 13 ecological sources and 78 potential ecological corridors. The ecological sources are mainly located in the east and southwest, with high connectivity; the potential ecological corridors are distributed in the form of a network, with fewer in the center, resulting in the phenomenon of ecological disconnection. (4) Lack of ecological sources and corridors, serious landscape fragmentation, and optimization of ecological network by adding and protecting ecological sources, repairing ecological breakpoints and building stepping stones. This study is of guiding significance for urban green space system planning, biodiversity protection, and ecosystem function enhancement in Yongtai County, and also provides reference for ecological protection and optimization in other mountainous cities.

Experienced Learners from Generation Z and the Traditional Vision of the Good Language Teacher: On The Issue of Teacher Authenticity

Different societies have their own perspectives on the definition of a good language teacher, as their members attach varying degrees of importance to the different skills and personal qualities required for effective teaching. While available studies have identified numerous desired language and pedagogical competencies among educators, the dynamic post-pandemic reality has brought increased attention to the importance of building and maintaining relationships with students. This process inevitably involves emotional engagement from both educators and students. Consequently, there is a growing call for both groups to accept their true selves and act authentically in their educational interactions. In response to the promotion of these values in education, this article aims to present the results of a study that sought to examine how experienced language students, representing Generation Z in Poland, define and evaluate authentic behaviours of their foreign language teachers. The participants of the study were asked to complete an online questionnaire containing both open and closed questions about their perceptions of their teachers’ authenticity. The thematic analysis of the qualitative data revealed a one-sided, unequivocally positive perception of authenticity, both in the general sense and in relation to the educational context. Numerous positive traits, such as sincerity, openness, sense of humour and didactic expertise were recognised as characteristics of authentic language teachers.

Investigation the effects of operational parameters and multi-factor optimization of butene metathesis process via statistical approach

In this study, the production of propylene from 2-butene and 1-butene via the metathesis process was investigated and simulated. The effects of operational parameters, including reactor temperature, residence time, and 1-butene/2-butene molar ratio, on reactor performance were examined, and statistical models were developed. The design of experiment (DoE) was performed using the response surface methodology (RSM)-central composite design (CCD) approach for efficient experimentation and model development as well as optimization. The study's findings indicate a high conversion rate for 2-butene. By statistically analyzing the obtained data and performing analysis of variance (ANOVA), the influential parameters and their degree of importance were determined. Sensitivity analysis was conducted based on the developed models. Finally, using these models and desirability function as a powerful optimization algorithm, optimal conditions for the process were obtained. The results of the optimization showed that the maximum propylene molar fraction (32.5 %) was obtained at a temperature of 508.4 °C, a residence time of 20.7 s, and a 1-butene/2-butene molar ratio of 0.1.

Functioning of ergonyms of beauty salons in the city of Yaroslavl (according to the data of sociolinguistic experiment)

The article considers regional peculiarities of nomination in the field of beauty salons' ergonyms on the example of names of the city of Yaroslavl. The questionnaire of the sociolinguistic survey included questions allowing to evaluate the ergonyms of beauty salons in the city of Yaroslavl according to the following criteria: the correspondence of the name to the sphere of activity of the organization; the degree of attractiveness of the studied ergonyms for respondents; the reasons for the attractiveness/unattractiveness of the ergonyms for respondents; options for transforming the nomination for the convenience of using it in speech; the degree of importance of the name of the establishment for the consumer of goods/services in the process of choosing an organization to visit. As a result of analyzing the respondents' answers, the following conclusions were obtained. The names of the majority of the studied ergonyms correspond to the beauty sphere. The most attractive name of a beauty salon for Yaroslavl residents is Beauty Territory, which is characterized by correspondence to the sphere of activity of the organization and «beauty of sound». The importance of the name of a beauty salon when choosing a place to visit cannot be determined unequivocally: the answers of the respondents were distributed approximately equally, with 13.2 % of respondents not paying attention to the name when choosing a beauty salon. When using ergonyms in speech, the townspeople most often use elliptization, univerbation, use of the identifier only.

Family determination of social phobia in students

Introduction. Numerous scientific studies show a tendency for the spread of social phobia among students, which is explained by factors of uncertainty, global risk, a sharp change in the conditions of higher education, as well as, mainly, the personal characteristics of students. However, family determination plays an important role in its formation, which has not been sufficiently studied. Attached to their parents, but feeling insignificant in the family, boys and girls are not sufficiently prepared to accept new challenges outside the family - their social anxiety can increase to the level of social phobia. The purpose of the study was to identify the features of the family determination of social phobia in students, determined by their proximity to their parents and importance in the parental family.Materials and Methods. The sample was made up of students of the II and III courses of Moscow universities (125 boys and 125 girls) who had not previously been married at the time of the survey. The methods of socio-psychological diagnostics were used: "Family sociogram" by E. G. Eidemiller and O. V. Cheremisin; questionnaire of social anxiety and social phobia by O. A. Sagalakova and D. V. Truevtsev (STiSF). In the course of the study, group differentiation was carried out: according to the level of social anxiety, 2 groups were distinguished (students with and without social phobia); according to family status, 4 groups (close to the father, close to the mother, equally close to both parents, "alienated" from the parental family). Empirical data were subjected to mathematical and statistical processing based on the MS Office Excel package, IBM SPSS Statistics 23. Intergroup differences were determined by the Student's t-criterion; correlation analysis was performed by Pearson's r-criterion.Results. In the combined sample, about 29% of students were found with low indicators of the general level of social phobia, about 27% with elevated indicators and about 44% with a high general level of STIS. The overall level indicator was 47.8 points, which corresponds to an increased level of social anxiety with a tendency to high. In the sample of students with social phobia, a smaller percentage of those close to their father and a large percentage close to their mother, as well as equally close to both parents, were found compared with the sample of students without social phobia. Sociophobic students have a significantly lower status in the parental family, but no intergroup differences in indicators of proximity to their father or mother were found (in both groups there are many students who are close to each parent and alienated from them). The absence of close links between indicators of students' closeness to parents, their importance in the parental family and indicators of social phobia in the combined sample and the sample of students with social phobia was noted, however, their significant correlations were revealed in the sample of students without social phobia.Discussion and Conclusions. The position of students with social phobia in the parental family is high in proximity to both parents, but low in importance in the family, whereas the position of students with a low level of STIS is characterized by a moderate degree of importance in the family and a low equal degree of proximity to both parents. The occurrence of social phobia is less likely in students who have an equal low degree of closeness to both parents and moderate (within 6-7 points) with a tendency to a high degree of importance in the family.

Thermomechanical properties of poly(vinyl alcohol) prepared at room temperature as a function of degree of hydrolysis and aluminium addition

Poly(vinyl alcohol) (PVOH) is widely used in various industrial applications. However, its water solubility reduces film performance, which is important in PVAc-based wood adhesives. In this sector, AlCl3 is often used as a complexing agent for PVOH. In this work, the effect of heating and aluminium addition on the structure and viscoelastic properties of PVOH with different degrees of hydrolysis (DH), 88%, 92% and 99%, was studied. Products treated with either HCl or acetic acid were also considered. The polymer properties were evaluated by infrared spectroscopy and dynamic mechanical analysis, and the mass loss of the polymers on heating was also evaluated to explain the observed differences. The measurements showed that the peaks of the tanδ curves occurred at slightly lower temperatures as the DH increased, although higher crystallinity was observed at the end of the DMA tests for higher DHs. This is due to the increasing affinity of highly hydrolysed PVOH for water molecules. However, as the temperature increased, the storage modulus was higher for higher DHs due to the better mutual interaction of OH groups that develops during the tests in highly hydrolysed polymers. The addition of aluminium caused a slight increase in Tg, the magnitude of which was inversely proportional to the DH. However, as the temperature increased, the storage modulus decreased more at lower DHs than at higher DHs. This effect was related to a combination of factors: the lower presence of crystallites in products with lower DH and the formation of conjugated polyenes, which was also more pronounced in products with lower DH. Both mechanisms were due to the action of aluminium. Thus, both heat and the addition of aluminium had a determining effect on the properties of PVOH films, although the degree of importance depended on the degree of hydrolysis of the polymer.

A Hybrid Preference Interaction Mechanism for Multi-Satellite Imaging Dynamic Mission Planning

The existing multi-satellite dynamic mission planning system hardly satisfies the requirements of fast response time and high mission benefit in highly dynamic situations. In the meantime, a reasonable decision-maker preference mechanism is an additional challenge for multi-satellite imaging dynamic mission planning based on user preferences (MSDMPUP). Therefore, this study proposes the hybrid preference interaction mechanism and knowledge transfer strategy for the multi-objective evolutionary algorithm (HPIM–KTSMOEA). Firstly, an MSDMPUP model based on a task rolling window is constructed to achieve timely updating of the target task importance degree through the simultaneous application of periodic triggering and event triggering methods. Secondly, the hybrid preference interaction mechanism is constructed to plan according to the satellite controller’s preference-based commands in different phases of the optimal search of the mission planning scheme to effectively respond to the dynamic changes in the environment. Finally, a knowledge transfer strategy for the multi-objective evolutionary algorithm is proposed to accelerate population convergence in new environments based on knowledge transfer according to environmental variability. Simulation experiments verify the effectiveness and stability of the method in processing MSDMPUP. This study found that the HPIM–KTSMOEA algorithm has high task benefit, short response time, and high task completion when processing MSDMPUP.

Effect of care bundles based on importance degree analysis on postoperative comorbid state, coping style and disease management ability of patients with coronary heart disease.

Coronary heart disease (CHD) is a significant global health concern, particularly among the elderly. While care bundles present a comprehensive strategy for clinical disorders, their application in CHD rehabilitation remains understudied. This research addresses this gap by investigating the effectiveness of care bundles in CHD patients. By analyzing important performance degrees, we aim to contribute valuable insights to bridge existing knowledge deficiencies. Our study strives to establish a theoretical foundation for the broader implementation of care bundles, potentially improving the quality of care and patient outcomes in CHD rehabilitation. This is a retrospective study. 360 patients with CHD who were admitted to our hospital from January 2019 to October 2022 were enrolled in this retrospective study and divided into the observation group (n = 180) and control group (n = 180) according to the different care that they received. All cases were given routine nursing after CHD operation, and the observation group was given care bundles on the basis of the analysis of important performance degrees. The perioperative indexes, self-management ability score, depression, anxiety, stress scale (DASS), coping styles, medical compliance and the incidence of complications were compared between the 2 groups. Aftercare, the time of hospitalization and getting out-of-bed in the observation group was notably shorter (P < .05). Aftercare, the scores of self-management ability and related dimensions in the observation group were notably higher (P < .05). After care, the score of depression (P < .001), anxiety (P = .003) and stress (P = .017) of the observation group were notably lower. Aftercare, the observation group face score was significantly higher than the control group (P = .005), while the observation group avoidance score (P = .028) and yield score (P < .001) were significantly lower than the control group scores. Aftercare, the compliance behavior of patients in the observation group was notably better (P = .013). Aftercare, the incidence of complications in the observation group was notably lower (P = .039). Care bundles based on the degree of importance analysis can play a positive role in postoperative comorbid state, coping styles and self-management ability of patients with CHD, which can improve the rehabilitation effects on patients.

Few-layer bifunctional metasurfaces enabling asymmetric and symmetric polarization-plane rotation at the subwavelength scale

We introduce and numerically validate the concept of few-layer bifunctional metasurfaces comprising two arrays of quasiplanar subwavelength resonators and a middle grid (array of rectangular holes) that offer both symmetric and asymmetric transmissions connected, respectively, with symmetric and asymmetric polarization-plane rotation functionalities. The proposed structures are thinner than λ/7\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\lambda /7$$\\end{document} and free of diffractions. Usually, the structure’s symmetry or asymmetry, i.e. unbroken or broken spatial inversion symmetries, are considered for metasurfaces as prerequisites of the capability of symmetric or asymmetric conversion of linearly polarized waves, respectively. Due to the achieved adjustment of the resonances enabling the rotation of the polarization plane simultaneously for both orthogonal polarizations of the incident wave, the symmetric polarization-plane rotation functionality can be obtained within one subwavelength band, whereas the asymmetric polarization-plane rotation functionality associated with the asymmetric transmission is obtained within another subwavelength band. This combination of the functionalities in one subdiffraction structure is possible due to the optimal choice of the grid parameters, since they may strongly affect the coupling between the two resonator arrays. Although normal incidence is required for the targeted bifunctionality, the variations of the incidence angle can also be exploited for the enrichment of the overall functional capability. Variations of the polarization angle give another important degree of freedom. The connection between the polarization-angle dependence of cross-polarized transmission and capability of symmetric and asymmetric polarization-plane rotation functionalities is highlighted. The feasible designs of the bifunctional metasurfaces are discussed.

Полимаркерные контексты с частицей «все-таки»: семантика и прагматика

The aim of the study is to establish whether the use of several units with similar meaning as part of the combinations “but still”, “although ... but”, “although ... but still” is a manifestation of linguistic redundancy or each component contributes to the formation of the integral meaning of the utterance, and to describe the semantic status of “still” as part of polymarker utterances. To solve this goal, the article analyzes the semantics of the units “but”, “although”, “still” both independently functioning and as part of combinations. The scientific novelty of the research consists in the fact that for the first time the semantic contribution of units with similar meaning “but”, “although”, “although … but” in polymarker utterances is revealed and described on the material of contexts from the National Corpus of the Russian Language. As a result of the study it was found that in the contexts with the combinations “still”, “although ... but”, “although ... but still” the formation of the meaning of the statement is carried out due to the semantics of each component, which has its own functional load. “Still” in polymarker contexts acts as an indicator of information of different degrees of importance and is used to correct possible misinterpretation of implicit meanings.

Direct prediction of antimicrobial resistance in Pseudomonas aeruginosa by metagenomic next-generation sequencing.

Pseudomonas aeruginosa has strong drug resistance and can tolerate a variety of antibiotics, which is a major problem in the management of antibiotic-resistant infections. Direct prediction of multi-drug resistance (MDR) resistance phenotypes of P. aeruginosa isolates and clinical samples by genotype is helpful for timely antibiotic treatment. In the study, whole genome sequencing (WGS) data of 494 P. aeruginosa isolates were used to screen key anti-microbial resistance (AMR)-associated genes related to imipenem (IPM), meropenem (MEM), piperacillin/tazobactam (TZP), and levofloxacin (LVFX) resistance in P. aeruginosa by comparing genes with copy number differences between resistance and sensitive strains. Subsequently, for the direct prediction of the resistance of P. aeruginosa to four antibiotics by the AMR-associated features screened, we collected 74 P. aeruginosa positive sputum samples to sequence by metagenomics next-generation sequencing (mNGS), of which 1 sample with low quality was eliminated. Then, we constructed the resistance prediction model. We identified 93, 88, 80, 140 AMR-associated features for IPM, MEM, TZP, and LVFX resistance in P. aeruginosa. The relative abundance of AMR-associated genes was obtained by matching mNGS and WGS data. The top 20 features with importance degree for IPM, MEM, TZP, and LVFX resistance were used to model, respectively. Then, we used the random forest algorithm to construct resistance prediction models of P. aeruginosa, in which the areas under the curves of the IPM, MEM, TZP, and LVFX resistance prediction models were all greater than 0.8, suggesting these resistance prediction models had good performance. In summary, mNGS can predict the resistance of P. aeruginosa by directly detecting AMR-associated genes, which provides a reference for rapid clinical detection of drug resistance of pathogenic bacteria.

The role of trophic, mutualistic, and competitive interactions in an industrial symbiosis process implementation: an ecological network perspective

For both government and private institutions, the development of collaboration networks becomes an element of great importance for the implementation of related policies such as the circular economy and sustainable practices in manufacturing. Despite the above, such initiatives have not received as much attention in literature but have been decisive as both public and private initiatives. Initiatives in Latin America do not escape this scenario, especially in the creation of conditions that allow the promotion of approaches such as industrial symbiosis. In this way, the present research is aimed at identifying the role of trophic, mutualistic, and competitive interactions in an industrial symbiosis process implementation. A network analysis model is used to achieve this purpose. This technique allows us to know the degree of importance of the different actors that are part of a network, as well as the factors that determine the implementation of initiatives such as industrial symbiosis. Among the results are that empirical findings confirm the presence of trophic interactions that enhance resource efficiency, mutualistic interactions fostering collaboration and synergy, and competitive interactions promoting efficiency and dynamism. Additionally, a green culture, business size, and innovation activities are revealed as influential factors amplifying network dynamics.

The effect of fine particle peening on aviation gear performance, Part I: Surface integrity

AbstractAs a fundamental component of aviation equipment, the gear has an essential effect on the service performance of the whole machine. Fine particle peening (FPP) technology is a good choice for the precision requirements of aviation gears. Therefore, a FPP model of aviation gears was constructed based on the discrete element‐finite element coupling method (DEM‐FEM) to simulate the evolution of surface roughness and residual compressive stress, and its results were verified by experiments. The effects of FPP intensity, coverage rate, and particle diameter on surface integrity were investigated. In addition, the importance degree of the intensity, coverage rate, and particle diameter of FPP on surface integrity was carried out by the random forest decision method. It demonstrates that the surface roughness Sa was mainly influenced by the FPP intensity and particle diameter. And the distribution state of the residual compressive stress was mainly affected by the particle diameter.

Application of the DEMATEL method for quantitative analysis of risk factors for railway investments in Poland.

The paper presents the results of research on the influence of risk factors on the implementation of railway investments in Poland (build stage) and deals with a detailed diagnosis of relation between factors. The application of DEcision MAking Trial and Evaluation Laboratory (DEMATEL) method for the analyses allowed to develop a cause-and-effect model of key factors and analyse the importance of the factors. Eleven factors identified in eariel studies as the most important risk factors were examined. It was found that the factors: errors in the preparation of tender documents (10.38%), errors in project documentation (10.02%), improperly estimated time of completion of the investment by the Employer (9.82%), internal regulations of PKP Polskie Koleje Państwowe S.A. (Polish State Railways) not coordinated with the provisions of contracts (9.51%) have the highest degree of importance. Factors: too many external institutions involved in the investment process and internal regulations of PKP Polskie Koleje Państwowe S.A. (Polish State Railways) not coordinated with the provisions of contracts, have the greatest net impact on the other factors. The relations between the factors and factors importance are valuable knowledge for engineers, enabling the project to be implemented according to the planned schedule and investment cost.

Pseudo-Spin Symmetry and the Hints for Unstable and Superheavy Nuclei

The pseudo-spin symmetry (PSS) provides an important angle to understand nuclear microscopic structure and the novel phenomena found in unstable nuclei. The relativistic Hartree–Fock (RHF) theory, that takes the important degrees of freedom associated with the π-meson and ρ-tensor (ρ-T) couplings into account, provides an appropriate description of the PSS restoration in realistic nuclei, particularly for the pseudo-spin (PS) doublets with high angular momenta (l˜). The investigations of the PSS within the RHF theory are recalled in this paper by focusing on the effects of the Fock terms. Aiming at common artificial shell closures appearing in previous relativistic mean-field calculations, the mechanism responsible for the PSS restoration of high-l˜ orbits is stressed, revealing the manifestation of nuclear in-medium effects on the PSS, and thus, providing qualitative guidance on modeling the in-medium balance between nuclear attractions and repulsions. Moreover, the essential role played by the ρ-T coupling, that contributes mainly via the Fock terms, is introduced as combined with the relations between the PSS and various nuclear phenomena, including the shell structure and the evolution, novel halo and bubble-like phenomena, and the superheavy magicity. As the consequences of the nuclear force in complicated nuclear many-body systems, the PSS itself and the mechanism therein can not only deepen our understanding of nuclear microscopic structure and relevant phenomena, but also provide special insight into the nature of the nuclear force, which can further enrich our knowledge of nuclear physics.

Assessing the Academic Performance of Turkish Universities in 2023: A MEREC-WEDBA Hybrid Methodology Approach

Research and reporting on university rankings serve as valuable tools for students in evaluating universities and understanding their current performance status. Within academic literature, university rankings are established using diverse criteria across various domains, each carrying varying degrees of importance. This study adopts a multi-criteria decision-making (MCDM) perspective to analyze the academic performance ranking of Turkish Universities in 2023. Data sourced from the 2023 reports of sixty-one universities from Times Higher Education (THE) serve as the basis for this research, with THE indicators—teaching, research, citations, industry income, and international outlook—considered as primary research criteria. The Method based on the Removal Effects of Criteria (MEREC) method is employed to ascertain criterion weights, while the Weighted Euclidean Distance-Based Approach (WEDBA) method is utilized for university ranking. The study identifies "citations" as the criterion of highest significance. Notably, the top-performing universities in the ranking include Çankaya University, Fırat University, and Bahçeşehir University. Furthermore, by comparing the rankings from this study with THE university rankings, the research offers tailored suggestions for universities. This study underscores the importance of deriving criterion weights from university performance datasets rather than relying on fixed weights, facilitating a more nuanced approach to university rankings. Moreover, it presents THE performance rankings for sixty-one Turkish universities, offering valuable insights for strategic planning within the university sector.

Research on Flight Safety Indicators Based on Confidence and Principal Component Analysis

Modern technology protects flight safety, especially in the specific research and application of flight quality monitoring, and similar studies are currently focusing on large-scale reading of flight data, and storing and analysing it. In this paper, the data from switching on the autopilot is extracted and the reliability is firstly investigated using the Cronbach's alpha reliability coefficient method. Considering the various types of data as the questions of the questionnaire, and the result of Min-Max normalisation of the data as the score of the questionnaire, the size of the reliability coefficients of the data for the eight flight segments was finally derived, and the reliability of the data was quantitatively described based on this. In order to filter the importance of factors reflecting flight safety, seven indicators related to flight safety were then extracted. Then, through principal component analysis, the importance of the indicators was analysed by the size of the coefficients, and the degrees of importance, from the largest to the smallest, were as follows: airspeed, ground speed, descent rate, altitude, and attitude.

Extraction of important degrees of freedom in quantum dynamics using singular value decomposition: Application to linear optical spectrum in two-dimensional Mott insulators

Extraction of important degrees of freedom in quantum dynamics using singular value decomposition: Application to linear optical spectrum in two-dimensional Mott insulators

Important-data-based attack design and resilient remote estimation for recurrent neural networks

In this paper, an attack-defense framework is proposed for the remote H∞ state estimation of delayed recurrent neural networks (RNNs). Firstly, an important-data-based (IDB) attack strategy is constructed, which can identify the important packets that play essential roles in the estimation and selectively attack them based on their importance degree from the perspective of the attackers. By targeting the important packets, larger attack damages can be achieved. Then, a resilient state estimator that can resist IDB attacks is developed from the defenders' point of view. Notably, some unrealistic assumptions (e.g., the attacker knowing the system structure and full parameters, the defender knowing the attack rate/parameters) are removed, which makes the proposed method easy to implement. At last, simulation results are presented to show the larger destructive effect of the constructed IDB attack and the efficiency of the proposed resilient H∞ state estimator.