Comprehensive Level Research Articles

Reading Ability and a Comparison of Reading and Listening Comprehension for Students Aged 16–22 with Intellectual Disability

ABSTRACT Many studies have examined students with reading and writing difficulties. However, relatively little research has examined reading difficulties in students with intellectual disabilities (ID). The present study included 70 students, 46 with mild and 24 with moderate ID, from six different upper secondary schools for students with ID in southern Sweden. The study had the following aims: first to investigate the students’ reading ability, and second to compare students’ reading and listening abilities. The results revealed that few of the students reached the average decoding and reading comprehension levels for grade 3 students in compulsory school. Furthermore, students generally performed better on listening comprehension than reading comprehension, and this benefit was particularly prominent for students with moderate ID. These findings suggest that systematically practicing listening comprehension may help students with ID increase text assimilation. However, more research is needed to confirm this possibility.

Flood Disaster Risk Assessment in Wuhan City Based on GIS Analysis and Indicator Ranking Using Random Forest

In recent years, with the acceleration of urbanization and the frequent occurrence of extreme weather globally, the risk of urban flood disasters has gradually increased, and its potential consequences are immeasurable. Therefore, conducting risk assessment of urban flood disasters is of great significance, as it is one of the foundations and decision-making means for Disaster Prevention and Mitigation, and has become a hot topic and trend in current research. This paper starts by exploring the concept and formation mechanism of urban flood disasters, taking Hazard Factors, Disaster-prone Environment sensitivity, Vulnerability of Exposed Bodies, and Disaster Prevention and Mitigation Capabilities as primary indicators. Based on this, a risk assessment index system is established with 14 secondary indicators, such as annual average rainfall, distance to water systems, elevation, and terrain undulation. The spatialization of each indicator data point is processed through ArcGIS10.7, and the importance of hazard and sensitivity indicators is ranked using the Random Forest algorithm. The indicators are then weighted using a combination of the Analytic Hierarchy Process (AHP) and the entropy method, and the combined weights of each assessment indicator are calculated. Taking Wuhan City as the research area, the weights of each indicator are input into the established risk assessment model. ArcGIS spatial analysis techniques and raster calculation functions are utilized to solve the fuzzy comprehensive evaluation of the assessment model, obtaining zoning maps of risk levels for hazard, sensitivity, vulnerability, disaster prevention, and mitigation capabilities, as well as the distribution of comprehensive risk levels. The validity and rationality of the model results are verified by actual disaster data, providing important reference for urban flood disaster prevention in the future.

Enhancing Reading Comprehension Proficiency of Grade 10 Students: Input for Supplementary Reading Materials

This present study investigated the reading comprehension levels of the Grade 10 students, their levels of macro and micro reading comprehension skills, and the different reading activities provided to them by the teachers. Considering the effect of the COVID-19 pandemic, the Grade 10 students’ acquisition of reading comprehension skills has been affected. Consequently, assessment of students’ reading comprehension is essential to collect information and make inferences about the level of their reading comprehension skills which would help the Grade 10 teachers determine the underlying problems in students’ reading skills and eventually guide them in the crafting of the most appropriate reading interventions and well-designed remediation plans. The instrument used to assess the student’s level of reading comprehension skills was categorized into two based on Douglas Henry Brown’s micro and macro reading skills and an interview for teacher-respondents on the activities provided to the students in teaching reading. The results of this study indicated that the student’s reading comprehension proficiency was at a proficient level and yet more intensive reading comprehension activities should be given, well-designed supplementary reading materials be provided, and varied and effective learning strategies be employed by the teachers to improve their reading comprehension.

A study on the spatial and temporal evolution patterns of water resource–ecology–social economy composite system resilience in the Huaihe River Basin

ABSTRACT Water resources are important supporting elements in the ecological environment and socio-economic system of sustainable development. The purpose of this study is to evaluate the comprehensive resilience level of the water resources–ecology–socioeconomic system against external disturbances in the Anhui and Shandong sections of the Huaihe River Basin. The comprehensive index system is constructed with the characteristic dimensions of resistance, resilience, and adaptability. Use the game theory combination weighting-VIKOR method to quantify the resilience level, and use the kernel density analysis and Markov chain to explore the spatial and temporal evolution characteristics and transition probability. The results show that (1) the resilience index of the composite system in the Huaihe River Basin shows an increasing trend, and the resilience level of the Anhui section is generally higher than that of the Shandong section. (2) The resilience level gradually evolved into the spatial distribution characteristics of high in the west and low in the east, high in the south and low in the north during the study period. (3) The resilience grade has strong robustness, and the probability of transferring to the higher grade is greater than that of transferring to the lower grade.

Exploring Meta-Learning: Unveiling Progress and Obstacles - A Comprehensive Examination

Educational international organizations have forecasted a radical transformation in how students learn, the content they learn, and the requisite skills in the near future. The advent of smart technologies is poised to revolutionize learning conditions, ushering in opportunities for transformative learning experiences and fostering more conscious, self-directed, and self-motivated learning endeavors. Meta-learning encompasses a suite of cognitive meta-processes through which learners consciously construct and manage personal learning models. It involves a progression of meta-skills that evolve hierarchically, facilitating the attainment of advanced levels of comprehension termed meta-comprehension. This article delves into the concept of meta-learning and delineates the meta-levels of learning through the lens of metacognition. Additionally, it explores the potential of smart technologies to serve as fertile ground for implementing meta-learning training strategies. The findings of this study contribute to a novel theoretical framework for meta-learning, bolstered by smart devices capable of supporting future meta-learners, or more aptly, meta-thinkers, in transcending conventional realms of knowledge and ascending to higher meta-levels of human intelligence.

YouTube Videos Are a Moderately Comprehensive, Reliable, and Quality Option to Learn About “Multiple Sclerosis and Sexuality”

Objectives This study aimed to evaluate the performance, comprehensiveness, reliability, and quality of English-language YouTube videos addressing the subject of multiple sclerosis and sexuality. Methods In August 2023, a search was conducted on a computer using the keywords “multiple sclerosis and sexuality,” “multiple sclerosis and sexual health,” “multiple sclerosis and sexual health problems,” and “multiple sclerosis and sexual dysfunction” for this descriptive study. According to predetermined inclusion and exclusion criteria, 38 videos that met the research purpose were examined. The related URLs were recorded. For each video, the following information was collected: content producers, performance with YouTube statistics, comprehensiveness with a form developed by researchers, reliability with Singh’s Reliability Evaluation Form, and quality with Global Quality Scale. Two researchers independently evaluated the videos. Results Eighty-nine and a half percent of the videos contained information presented by professionals. The average number of views was 2699.132 ± 3382.848, the comprehensiveness score was 4.2 ± 1.711, the reliability score was 3.184 ± 1.182, and the quality score was 3.421 ± 1.2. Nearly half (42.2%) contained good and useful information for viewers, and half (50%) had high video quality. The reliability and quality scores of videos containing each item in terms of comprehensiveness were higher compared to videos that did not include that item (p < 0.05). In addition, the videos with higher comprehensiveness scores had higher quality and reliability scores (p < 0.001). Conclusion These results underscore the constrained performance attributes of YouTube videos addressing multiple sclerosis and sexuality, with their content exhibiting a moderate level of comprehensiveness, reliability, and quality. These results may provide a basis for increasing the effectiveness of YouTube videos on multiple sclerosis and sexuality.

Exploring Meta-Learning: Unveiling Progress and Obstacles - A Comprehensive Examination

Educational international organizations have forecasted a radical transformation in how students learn, the content they learn, and the requisite skills in the near future. The advent of smart technologies is poised to revolutionize learning conditions, ushering in opportunities for transformative learning experiences and fostering more conscious, self-directed, and self-motivated learning endeavors. Meta-learning encompasses a suite of cognitive meta-processes through which learners consciously construct and manage personal learning models. It involves a progression of meta-skills that evolve hierarchically, facilitating the attainment of advanced levels of comprehension termed meta-comprehension. This article delves into the concept of meta-learning and delineates the meta-levels of learning through the lens of metacognition. Additionally, it explores the potential of smart technologies to serve as fertile ground for implementing meta-learning training strategies. The findings of this study contribute to a novel theoretical framework for meta-learning, bolstered by smart devices capable of supporting future meta-learners, or more aptly, meta-thinkers, in transcending conventional realms of knowledge and ascending to higher meta-levels of human intelligence.

Differences in tourism economic development and its influencing factors among three major city clusters along the middle reaches of the Yangtze River.

An in-depth study of the mechanisms governing the generation, evolution, and regulation of differences in tourism economics holds significant value for the rational utilization of tourism resources and the promotion of synergistic tourism economic development. This study utilizes mathematical statistical analysis and GIS spatial analysis to construct a single indicator measure and a comprehensive indicator measure to analyze tourism-related data in the research area from 2004 to 2019. The main factors influencing the spatial and temporal differences in the tourism economy are analyzed using two methods, namely, multiple linear regression and geodetector. The temporal evolution, overall differences and differences within each city group fluctuate downwards, while the differences between groups fluctuate upwards. Domestic tourism economic differences contribute to over 90% of the overall tourism economic differences. Spatial divergence, the proportion of the tourism economy accounted for by spatial differences is obvious, the comprehensive level of the tourism economy can be divided into five levels. The dominant factors in the formation of the pattern of spatial and temporal differences in the tourism economy are the conditions of tourism resources based on class-A tourist attractions and the level of tourism industry and services based on star hotels and travel agencies. This study addresses the regional imbalance of tourism economic development in city clusters and with the intent of promoting balanced and high-quality development of regional tourism economies.

Development and validation of health-oriented personal evaluation for the community-dwelling older person based on the International Classification of Functioning, Disability and Health.

The International Classification of Functioning, Disability and Health (ICF) offers a standardized international terminology to operationalize function management across multiple domains, but the summary score of the ICF qualifier scale provides limited information on the comparison of personal abilities and functioning difficulties. To enhance the interpretative power of the ICF-based Health-oriented Personal Evaluation for the community-dwelling older person (iHOPE-OP) scale through the implementation of the item response theory (IRT) modelling. This cross-sectional, multi-centre study administrated 161 ICF categories (58 on body functions, 15 on body structures, 60 on activities or participation and 28 on environmental factors) to evaluate the functional level of 338 older citizens (female = 158, male = 180) residing in community or supportive living facilities. The validation process encompassed assessing the IRT model fitness and evaluating the psychometric properties of the IRT-derived iHOPE-OP scale. The age of participants ranged from 60 to 94.57, with the mean age of 70. The analysis of non-parametric and parametric models revealed that the three-parameter logistic IRT model, with a dichotomous scoring principle, exhibited the best fit. The 53-item iHOPE-OP scale demonstrated high reliability (Cronbach's α = 0.9729, Guttman's lambda-2 = 0.9749, Molenaar-Sijtsma Statistic = 0.9803, latent class reliability coefficient = 0.9882). There was a good validity between person abilities and the Barthel Index (p < .001, r = .83), as well as instrumental activities of daily living (p < .001, r = .84). IRT methods generate the reliable and valid iHOPE-OP scale with the most discriminable and minimal items to represent the older person's functional performance at a comprehensive level. The use of the Wright map can aid in presby-functioning management by visualizing item difficulties and person abilities. Considering the intricate and heterogeneous health status of older persons, a single functional assessment tool might not fulfil the need to fully understand the multifaceted health status. For use in conjunction with the IRT and ICF framework, the reliable and valid iHOPE-OP scale was developed and can be applied to capture presby-functioning. The Wright map depicts the distribution of item difficulties and person abilities on the same scale that facilitates person-centred goal setting and tailors intervention.

Towards more sustainable and trustworthy reporting in machine learning

AbstractWith machine learning (ML) becoming a popular tool across all domains, practitioners are in dire need of comprehensive reporting on the state-of-the-art. Benchmarks and open databases provide helpful insights for many tasks, however suffer from several phenomena: Firstly, they overly focus on prediction quality, which is problematic considering the demand for more sustainability in ML. Depending on the use case at hand, interested users might also face tight resource constraints and thus should be allowed to interact with reporting frameworks, in order to prioritize certain reported characteristics. Furthermore, as some practitioners might not yet be well-skilled in ML, it is important to convey information on a more abstract, comprehensible level. Usability and extendability are key for moving with the state-of-the-art and in order to be trustworthy, frameworks should explicitly address reproducibility. In this work, we analyze established reporting systems under consideration of the aforementioned issues. Afterwards, we propose STREP, our novel framework that aims at overcoming these shortcomings and paves the way towards more sustainable and trustworthy reporting. We use STREP’s (publicly available) implementation to investigate various existing report databases. Our experimental results unveil the need for making reporting more resource-aware and demonstrate our framework’s capabilities of overcoming current reporting limitations. With our work, we want to initiate a paradigm shift in reporting and help with making ML advances more considerate of sustainability and trustworthiness.

Students' skills in mathematical word problems and their reading comprehension level: Basis for intervention program (June 2023)

This study aims to investigate the relationship between reading comprehension and solving mathematical word problems. Mathematics can be enjoyable yet challenging for many students. Solving word problems is a common struggle. To solve these problems, students must have strong reading comprehension skills to fully understand the mathematical information presented in text form. The researchers were motivated to conduct the study to ascertain the level of the students' reading comprehension and its impact on their performance in problem-solving. The researchers used a quantitative method in the study. The respondents were Grade 11 Senior High School students in Don Manuel Rivera Memorial Integrated National School, Pila, Laguna. The researchers calculated the sample size using Slovin's Formula which has a 5% margin of error. As a result, the researchers obtained a sample size of 118 Grade 11 students from HUMSS and STEM strand. The researchers used an adapted test questionnaire from the Project Reach Program of DepEd to measure the reading comprehension level of the respondents. On the other hand, the researchers created test questions to measure the skills of the students in solving mathematical word problems. After the data was collected, tallied, and analyzed, results revealed a significant correlation between students' reading comprehension and problem-solving skills at Don Manuel Rivera Memorial Integrated National High School. The majority of the respondents were categorized as "instructional" and "beginner," with a mean of 18.88 and 10.48. Pearson r correlation analysis revealed that pupils’ reading comprehension level is significantly correlated with their problem-solving skills. It means that students who belong to the independent level tend to have higher proficiency in solving mathematical word problems. The researchers created an intervention program in order to improve students' reading comprehension level and problem-solving skills. The researchers came up with the "CompreMath" intervention program. The "CompreMath" intervention program provides a rationale for integrating reading comprehension strategies into mathematics instruction, enabling students to develop a deeper understanding of mathematical concepts, enhance their problem-solving abilities, and make meaningful connections between mathematics and the real world.

PREDICTING THE LEARNING PATH TO LEARNER’S OPTIMUM COMPREHENSION

The essence of learning is for the learner to attain a significant level of comprehension after the learning process is completed. The quest to achieve this singular purpose has led to the introduction of several learning techniques  in the conventional learning environment, such as asking questions and conducting test after class, just to mention a few. Additionally, technology has been introduced in learning. Even with technological advancements, the learning experience still faces the challenge of learners not attaining the optimum comprehension state after the learning process. This is due to the present systems' inability to model the learner to determine the best methods for achieving maximum comprehension. Hence, this research paper focuses on deriving an improved mathematical model for predicting the learning path to a learner’s optimum comprehension. The paper presented three learning instructional media (learning paths); textual, audio and a hybrid of audio and video, which this research uses in modelling the learner. This is to enable the improved system predict the best learning path to optimum comprehension for learners. This research paper adopted Reinforcement Learning and the Markov decision process, specifically the Markov Chain approach, in developing an improved model for prediction. The evaluation of this research involved brainstorming on the Bellman’s equation with the aid of the Markov Chain transition state framework, resulting in an improved mean value function of 71.7. This indicates an enhanced comprehension state for the learning students compared to the existing mean value function of 46.0. The results obtained from this research clearly demonstrate that the improved model was able to predict and assign the best learning path to achieve optimum comprehension state for learners.

A survey of skin failure perceptions amongst pressure injury management staff in China: A cross-sectional study.

This study sought to evaluate the perceptions of pressure injury (PI) management staff regarding skin failure (SF). Additionally, an analysis of influencing factors based on the collected data was conducted to establish a foundation for targeted SF training. A descriptive, cross-sectional survey was undertaken in October-November 2023, utilising a convenience sampling method involving selected management staff of PI from 16 provinces in China. A total of 501 nursing participants were included, exhibiting an overall perception level that was moderately low. Although the majority were aware of the possibility of SF (n = 417, 83.23%), only 60% reported an understanding of the fundamentals of SF, with the lowest level of comprehension observed in differentiating between SF and PI (n = 212, 42.31%). Overall attitudes were generally positive. Regarding behaviour, active learning was more prevalent (n = 340, 67.86%), but training is less (n = 287, 57.29%). Family education (n = 401, 80.04%) and nursing record monitoring (n = 426, 85.03%) demonstrated better behaviour. Further analysis revealed that training (t = 13.937, p < 0.001) and professional title (F = 4.681, p = 0.010) had a significant effect on participants' perceptions. These findings underscore that there remains a substantial lack of perception about SF amongst participants. Overall, participants exhibited a positive attitude towards SF, highlighting the need for future improvements in SF training.

Evaluating the Effectiveness of the SQ3R Method in Enhancing Students' Reading Proficiency

Background: Reading proficiency plays a pivotal role in language acquisition, influencing comprehension levels. However, while the SQ3R method has been identified as a tool for enhancing reading skills, its practical application and effectiveness in high school English settings are insufficiently studied, revealing a significant research gap. Methodology: This research employs a mixed-methods approach utilizing the Quan-qual model to address this gap comprehensively. Quantitative methods entail a true experimental design involving control and experimental groups, with 54 class X students purposively sampled. Additionally, qualitative data were collected through interviews with four representative students. Findings: The findings reveal the effectiveness of the SQ3R method in improving reading achievement, supported by significant score enhancements in reading tests. Interviews with students also indicate positive attitudes toward SQ3R, boosting their motivation for reading. These results emphasize SQ3R's potential to elevate high school students' reading skills and enhance engagement in English language learning. Conclusion: This study underscores the effectiveness of the SQ3R method in enhancing reading achievement among high school students. Utilizing a mixed-methods approach, it reveals substantial score enhancements in reading tests and positive student perceptions, indicating increased motivation for reading. These findings highlight SQ3R's potential to elevate reading proficiency and engagement in English language learning, offering valuable insights for educators and curriculum development. Originality: The research identifies a gap in the exploration of the SQ3R method's application in high school English language learning, particularly regarding its effectiveness and students' perceptions. Further investigation is necessary to delve into qualitative aspects and involve diverse samples for a comprehensive understanding of English language learning in high school contexts.

Perbedaan Tingkat Pemahaman Akuntansi Di Antara Mahasiswa Berdasarkan Kelulusan Pada Mahasiswa Semester II Tahun Angkatan 2017 Di Program Studi Akuntansi Universitas Muara Bungo

This study aims to investigate whether disparities exist in the comprehension of accounting concepts among students with diverse educational backgrounds. The research is conducted at the Faculty of Economics, Muara Bungo University, focusing on students majoring in Accounting. The study population comprises 62 second-semester students at Muara Bungo University (UMB). Quantitative descriptive data analysis, presented in the form of frequency tables, is employed for this research. The Likert scale is utilized as the scoring technique to evaluate respondents' answers to the questionnaire. According to the American Accounting Association, accounting is defined as the process of identifying, measuring, and reporting economic information to facilitate informed decision-making for stakeholders. The findings indicate significant discrepancies in the comprehension levels of assets among students from vocational schools specializing in accounting, high schools with a focus on social studies, and general Madrasah Aliyah. Similarly, there are noteworthy variations in the understanding levels of liabilities and equity among students from different educational backgrounds.

First comprehensive higher level phylogeny of Zygaenidae (Lepidoptera) including estimated ages of the major lineages and a review of known zygaenid fossils

AbstractZygaenidae, also known as burnet, forester, smoky, or leaf skeletonizer moths, are a family of mainly diurnal moths well known for their aposematic colouration and the ability to release hydrogen cyanide as a defence mechanism. So far, few attempts have been made to understand the evolutionary history of the global zygaenid fauna. Here, we inferred the most comprehensive molecular phylogeny for Zygaenidae to date and estimated the lineage timing‐of‐divergence with a Bayesian approach. Building on earlier work, we significantly increased the taxon and gene sampling for the family, which here included data from 30 gene fragments, recovered from public databases or newly sequenced, for almost 30% of the species representing 92 genera (49%) and all five subfamilies. We recovered strong support for the monophyly of Zygaenidae, Chalcosiinae, and Zygaeninae. Procridinae were recovered as monophyletic with low support, whereas the monophyly of Callizygaeninae remains untested as we sampled only one of the two genera. In the core dataset, we recovered Procridinae as sister to Callizygaeninae + Chalcosiinae. This large clade is the sister lineage to Zygaeninae. The position of Inouelinae could not be resolved. The lineage leading to the extant Zygaenidae appears to have diverged in Late Cretaceous (ca. 86 Ma), while the divergence among the subfamilies occurred several million years before the Cretaceous–Paleogene mass extinction event (ca. 66 Ma). Additionally, we provide a review of known fossil Zygaenidae as Appendix S1. Our results form a strong basis for future studies of zygaenid biosystematics, including their ecology, evolution, and behaviour.

Integrating 5E Model with Planned-Incidental Grammar Teaching Approach to enhance grammar competency of eighth-grade Odia medium school students, in a time-sensitive manner

Prompted by the challenges faced by teachers in balancing grammar and content in English classes, coupled with the poor English proficiency of rural Odia medium school students, the study aimed to devise an intervention that could balance content and grammar, thereby enhancing the grammar competency and content comprehension of eighth-grade students. Based on quasi-experimental research with a pretest-posttest nonequivalent group design, two groups were assigned treatment conditions: the 5E Model with Planned-Incidental Grammar Teaching Approach (experimental group) and the traditional Grammar Translation Method (control group) during class instructions. Data were collected from 100 school students, with 52 in the experimental group and 48 in the control group, using pretest and posttest assessments. The mixed ANOVA test results revealed significantly higher posttest scores in the experimental group compared to the control group, highlighting the positive impact of the intervention on students’ grammar proficiency. The t-test for the comprehension test suggested comparable levels of comprehension in both groups, indicating the efficiency of the new pedagogical strategy in seamlessly integrating grammar instruction into regular classroom teaching, optimizing instructional time and ensuring balance between content and grammar, making it particularly valuable for educators facing time constraints. This study underscores the need for professional development opportunities to enhance teachers’ pedagogical skills and knowledge. Further research is warranted to explore the intervention’s impact on various language skills and assess its applicability in diverse contexts, contributing to a broader understanding of its implications.

Project-based learning to develop reading comprehension in English in teacher trainees of “Nuestra Señora de Chota” Higher Pedagogical Institute

One of the biggest problems presented by the teacher trainees in the professional career of Languages, Specialty of English of Nuestra Señora de Chota Higher Pedagogical Institute was the low levels of reading comprehension in English. For this reason, the general objective of this research was to create a didactic proposal based on project-based learning to develop reading comprehension in English at the literal and inferential levels in the teacher trainees of Nuestra Señora de Chota Higher Pedagogical Institute, located in the province of Chota. This study adopted a quantitative approach with a descriptive – propositional design, using the pedagogical test as a technique and the objective test as a data collection instrument; The study sample was made up of 18 teacher trainees of the fourth year of the professional career of Languages, specialty of English of the same institution. As a result of the study, it was revealed that after applying the objective test, a vast majority of teacher trainees (77.78%) were at the start level; However, a very low proportion (16.6%) were at the in-progress level, a minimum proportion (5.56%) were at the accomplished level and there were no students (0%) at the outstanding level regarding the development of reading comprehension in English in its literal and inferential dimensions at an intermediate level (B1); In conclusion, given these alarming results, a didactic proposal was created based on project-based learning to develop reading comprehension in English, which was validated through expert judgment.

Enterprise Credit Risk Decision: Application Based on Improved AHP

The credit risk of Shouguang vegetable enterprises in China is the biggest obstacle to corporate loans. Building a credit risk assessment model for Shouguang vegetable enterprises and accurately rating the risk of loan enterprises is the key to successful loans. This article aims to construct an AHP evaluation model for the credit risk of Shouguang vegetable enterprises. The data is sourced from managers, bank credit personnel, university researchers, and enterprise related customers who are familiar with the enterprise, while considering four risk levels: impact degree(I), occurrence probability(P), risk manageability(M), and government support(S). This article uses AHP and risk index scores to evaluate the credit risk of Shouguang vegetable enterprises. This model calculates the risk index score based on survey data from 41 corporate credit risk professionals, constructs a pairwise comparison judgment matrix, and conducts consistency testing. It calculates the risk level membership vectors of impact degree, occurrence probability, risk manageability, and government support level at four risk levels, and then calculates the comprehensive evaluation membership vector of credit risk for Shouguang vegetable enterprise. The calculation results show that the comprehensive credit risk assessment level of Shouguang vegetable enterprise belongs to the general risk level, with a membership value of 0.5836. The results still show that the credit rating of Shouguang vegetable enterprises in the four risk levels of impact degree, occurrence probability, risk manageability, and government support are all average risk levels, but there are differences in membership values. The maximum membership value under the impact degree level is 0.6163, and the minimum membership value under the risk manageability level is 0.5572. This study provides a feasible and practical model for enterprise credit risk assessment and conducts a detailed evaluation of the credit risk of Shouguang vegetable enterprise, providing valuable reference for enterprise managers, bank credit personnel, and related researchers.

Quantum cosmology in teleparallel gravity with a boundary term

We quantize a homogeneous and isotropic universe for two models of modified teleparallel gravity: one wherein an arbitrary function of the boundary term, namely B, is present in the action, and in the other model, a scalar field that is non-minimally coupled to both the torsion and boundary term. In this regard, we study exact solutions of both the classical and quantum frameworks by utilizing the corresponding Wheeler–DeWitt (WDW) equations of the models. To correspond to the comprehensive classical and quantum levels, in the second model, we propose an appropriate initial condition for the wave packets and observe that they closely adhere to the classical trajectories and reach their peak. We quantify this correspondence using the de Broglie–Bohm interpretation of quantum mechanics. According to this proposal, the classical and Bohmian trajectories coincide when the quantum potential vanishes along the Bohmian paths. Furthermore, we apply the de-parameterization technique to our model in the realm of the problem of time in quantum cosmological models based on the WDW equation, utilizing the global internal time denoted as χ\\documentclass[12pt]{minimal} \\usepackage{amsmath} \\usepackage{wasysym} \\usepackage{amsfonts} \\usepackage{amssymb} \\usepackage{amsbsy} \\usepackage{mathrsfs} \\usepackage{upgreek} \\setlength{\\oddsidemargin}{-69pt} \\begin{document}$$\\chi $$\\end{document}, which represents a scalar field.