Quality Evaluation Factors Research Articles

Essential Guidelines for Manufacturing and Application of Organoids.

An organoid is a self-organized three-dimensional structure derived from stem cells that mimics the structure, cell composition, and functional characteristics of specific organs and tissues and is used for evaluating the safety and effectiveness of drugs and the toxicity of industrial chemicals. Organoid technology is a new methodology that could replace testing on animals testing and accelerate development of precision and regenerative medicine. However, large variations in production can occur between laboratories with low reproducibility of the production process and no internationally agreed standards for quality evaluation factors at endpoints. To overcome these barriers that hinder the regulatory acceptance and commercialization of organoids, Korea established the Organoid Standards Initiative in September 2023 with various stakeholders, including industry, academia, regulatory agencies, and standard development experts, through public and private partnerships. This developed general guidelines for organoid manufacturing and quality evaluation and for quality evaluation guidelines for organoid-specific manufacturing for the liver, intestines, and heart through extensive evidence analysis and consensus among experts. This report is based on the common standard guideline v1.0, which is a general organoid manufacturing and quality evaluation to promote the practical use of organoids. This guideline does not focus on specific organoids or specific contexts of use but provides guidance to organoid makers and users on materials, procedures, and essential quality assessment methods at end points that are essential for organoid production applicable at the current technology level.

Application Deep Extreme Learning Machine in Multi-dimensional Smart Teaching Quality Evaluation System

INTRODUCTION: The construction of the wisdom teaching evaluation system, as the essential part of the institution's teaching reform, is conducive to developing the institution's disciplines, making the existing teaching more standardized, and making the means of teaching diversified, intelligent, and convenient.
 OBJECTIVES: Aiming at the current intelligent teaching evaluation design method, there are evaluation indexes that need to be more comprehensive, a single method, and system standard limitations.
 METHODS: Proposes an intelligent optimization algorithm for a multi-dimensional innovative teaching quality evaluation method. First of all, the multi-dimensional wisdom teaching evaluation system is constructed by analyzing the influencing factors of teaching quality evaluation; then, the parameters of the depth limit learning machine are optimized by the bird foraging search algorithm, and the multi-dimensional wisdom teaching evaluation model is constructed; finally, the validity and stability of the proposed method are verified by the analysis of simulation experiments.
 RESULTS: The results show that the proposed method improves the accuracy of the evaluation model.
 CONCLUSION: Solves the problem of low evaluation accuracy and incomplete system of teaching quality evaluation methods.

Use of Big Data Technology for Network Classroom Teaching Quality Management

Quality management of network classroom teaching has always been an urgent problem to be solved. Big data technology handles massive amounts of data and provides new quality management methods and means for network classroom teaching. However, data integration and fusion is a complex task and existing methods may not be able to deal with data fragmentation effectively, because data is often distributed across different systems and platforms in the network teaching environment. Therefore, this research aimed to study the quality management of network classroom teaching based on big data technology. This study provided a framework diagram of teaching quality evaluation criteria and factors affecting the teaching quality in the big data environment, explained complex relationships and effects among the factors, and described teaching quality prediction problems. The dimensionality reduction method of Least Absolute Shrinkage and Selection Operator (LASSO) was used for comprehensive status data integration of factors affecting teaching quality. An unequal-interval grey Riccati-Bernoulli model was constructed to study the internal relationships between various variable factors and network classroom teaching quality. Then the execution process of the prediction model, detailed modeling steps and teaching quality management steps were provided. The experimental results verified that the constructed model was effective.

High-rise apartment quality evaluation and related demographic factors: lesson from RentSafeTO programme

ABSTRACT With the rapid increase in urbanization and the number of residents living in high-rise apartment buildings, the quality of living environments in terms of the facility, safety and hygiene of high-rise housing has become an important topic. Although numerous studies have investigated occupant satisfaction through subjective assessment, only few studies have used objective assessment methods, such as expert evaluation, to elucidate the quality of high-rise apartments and the related occupancy factors. According to the dataset from Toronto's RentSafeTO programme, which provides the results for 9928 high-rise apartments evaluated using 20 quality indicators, this study conducted a factor analysis and identified two main factors for assessing high-rise housing: building structure and building facilities. Furthermore, this study used multiple regression models and census data to analyse the housing quality at the regional level. The results of social housing and private housing differed. Labour force attributes, education, immigration and ethnic origin significantly affected the quality of private housing. The results provide important directions for the post-occupancy evaluation of high-rise apartments. In addition, demographic factors significantly affected residential quality. This study provides a basis for the government to formulate equal and unbiased support for high-rise building maintenance and management.

Teaching Performance Evaluation with Decision Support System

The influencing factors of classroom teaching quality evaluation, including students, teachers, courses, teaching process and other factors, will produce a large amount of data in the process of teaching evaluation. In view of the fact that the commonly used evaluation methods can not make full use of the data, this study uses the classroom teaching quality evaluation system based on the decision tree method to effectively analyze the collected data and better carry out the teaching quality evaluation.

Variability in mammographic images quality evaluation and Predictive factors affecting it

Variability in mammographic images quality evaluation and Predictive factors affecting it

Dialogue-adaptive language model pre-training from quality estimation☆

Pre-trained language models (PrLMs) have achieved great success on a wide range of natural language processing tasks by virtue of the universal language representation ability obtained by self-supervised learning on a large corpus. These models are pre-trained on standard plain texts with general language model (LM) training objectives, which would be insufficient to model dialogue-exclusive attributes like specificity and informativeness reflected in these tasks that are not explicitly captured by the pre-trained universal language representations. In this work, we propose dialogue-adaptive pre-training objectives (DAPO) derived from quality estimation to simulate dialogue-specific features, namely coherence, specificity, and informativeness. As the foundation for model pre-training, we synthesize a new dialogue corpus and build our training set with two unsupervised methods: 1) coherence-oriented context corruption, including utterance ordering, insertion, and replacement, to help the model capture the coherence inside the dialogue contexts; and 2) specificity-oriented automatic rescoring, which encourages the model to measure the quality of the synthesized data for dialogue-adaptive pre-training by considering specificity and informativeness. Experimental results on widely used open-domain response selection and quality estimation benchmarks show that DAPO significantly improves the baseline models and achieves state-of-the-art performance on the MuTual leaderboard, verifying the effectiveness of estimating quality evaluation factors into pre-training.

Ginsenoside Rg3 determination using an electro-synthesized molecularly imprinted polymer on MWCNT-Ti3C2Tx nanocomposite modified electrode

Rare ginsenoside Rg3 is a main active ingredient in ginseng, which is more easily absorbed by human body and plays its role. Determination of Rg3 in edible and medicinal samples is a key factor for quality evaluation and effective monitoring of adulteration. In this study, an electrochemical sensor was developed based on molecularly imprinted polymer (MIP) and nanomaterial amplification. MIP was achieved by electro-polymerization with Rg3 as the template molecule and the functional monomer was o-phenylenediamine. Multi-walled carbon nanotubes (MWCNT) and titanium carbide (Ti3C2Tx) nanocomposites formed an excellent porous structure, which exhibited the advantages of increasing the specific surface area and electrical conductivity. The prepared sensor presented a great linear relation of Rg3 in the range of 10–2000 μg mL−1 with a limit of detection (LOD) of 0.34 μg mL−1. Importantly, the sensor was successfully utilized to detect ginsenoside Rg3 in different real samples.

Static and Dynamic Evaluations of College Teaching Quality

Taking economic management majors as an example, this paper probes deep into the teaching quality evaluation of colleges. Questionnaire survey was combined with interviews to survey the teachers and students of economic management majors in 10 colleges of a Chinese province. The current state and influencing factors of teaching quality evaluation were analyzed based on the survey data. The problems and defects were summarized for the teaching quality evaluation of economic management majors. On this basis, an evaluation index system was established for college teaching quality, drawing on both static and dynamic evaluations. The weight of each index was determined through expert scoring. Then, an empirical study was carried out on the teaching quality evaluation of the economic management major in a Chinese college. The results show that the proposed static-dynamic evaluation index system is highly operable in college teaching quality evaluation, and capable of revealing problems in teaching, and clarifying directions for improving teaching quality. The research enriches the theoretical and practical evidence of college teaching quality evaluation, and promotes the teaching quality of economic management majors in colleges from both theoretical and practical angles.

Research on application of ReliefF and improved RVM in water quality grade evaluation.

ReliefF algorithm was used to analyze the weight of each water quality evaluation factor, and then based on the Relevance Vector Machine (RVM), Particle Swarm Optimization (PSO) was used to optimize the kernel width factor and hyperparameters of RVM to build a water quality evaluation model, and the experimental results of RVM, PSO-RVM, ReliefF-RVM and PSO-ReliefF-RVM were compared. The results show that ReliefF algorithm, combined with threshold value, selects 5 evaluation factors with significant weight from eight evaluation factors, which reduces the amount of data used in the model, CSI index is used to calculate the separability of each evaluation factor combination. The results show that the overall separability of the combination is best when the evaluation factor with significant weight is reserved. When different water quality evaluation factors were included, the evaluation accuracy of PSO-ReliefF-RVM model reached 95.74%, 14.23% higher than that of RVM model, which verified the effectiveness of PSO algorithm and ReliefF algorithm, and had a higher guiding significance for the study of water quality grade evaluation. It has good practical application value.

Investigation of the Maturity Evaluation Indicator of Honey in Natural Ripening Process: The Case of Rape Honey.

Honey maturity, a critical factor for quality evaluation, is difficult to detect in the current industry research. The objective of this study was to explore the changes in the composition and find potential maturity indicators of rape honey at different maturity stages through evaluating physicochemical parameters (moisture, sugars, pH, electrical conductivity, total protein, total phenols, total flavonoids, proline, and enzyme activity), the antioxidant capacity, and volatile components. The relevant results are as follows: 1. As the maturity increased, the moisture, sucrose, and maltose content of rape honey gradually decreased, while the glucose, fructose, and total protein content gradually increased. The activities of diastase, invertase, and β-glucosidase showed a significant increase with the elevation of ripening days, and the activity of glucose oxidase reached the highest before completely capping. 2. The antioxidant capacity of honey increased with the increase in honey maturity. There is a significant and strong correlation between the bioactive components of rape honey and antioxidant capacity (p < 0.01, |r| > 0.857). 3. Thirty-five volatile components have been identified. Nonanal, benzaldehyde monomer, and benzaldehyde dimer can be used as potential indicators for the identification of honey maturity stages. Principal component analysis (PCA) based on antioxidant parameters and volatile components can identify the maturity of honey.

Research on modeling of cloud manufacturing resources selection

Cloud Manufacturing (CMfg) combines computing resources of the Internet and manufacturing resources of the enterprise into a large data resource pool to realize the configuration of manufacturing resources and manufacturing tasks. In order to solve the hugeness and complexity of the resource pool in CMfg, simplify the process links and save manufacturing resources, shorten the production time of enterprises and improve the production efficiency of enterprises, a model for the optimal selection of cloud manufacturing resources is proposed, which was based on production cost, production time, processing quality and other evaluation factors.

Research on the Balanced Relationship between Online Consumer Behavior and E-Commerce Service Quality Based on 5G Network

In order to better explore the consumer psychology activities of consumers and reduce the cost control risks of enterprises, this article aims to explore the relationship between online consumer behavior and e-commerce service quality and hopes to study e-commerce by dividing online consumer groups. This article uses 5G technology to track consumer consumption habits and consumption costs. First, according to the existing literature and qualitative interviews with online consumers, it is determined that the e-commerce service quality evaluation factors are the core service quality-related system reliability, efficiency, guarantee and completion, and the quality of after-sales service. Then, based on the data obtained from the questionnaire, SPSS statistical analysis software was used to analyze the reliability of the sample variables, thereby improving the quality of the sample data. We perform descriptive statistical analysis on these measurement items. Each attribute calculates the importance of each dimension. Through the analysis of experimental cases, it can be seen that the use of 5G technology can well match consumers’ consumption habits and message needs and can evaluate the quality of e-commerce services more accurately and scientifically.

Evaluation of Mine Water Quality Based on Bayesian Theory MODEL of AHP-EWM Combined Weighting Method

In view of the fuzziness and randomness of groundwater quality evaluation and the rationality and scientificityof the weight in the evaluation process, in order to establish an objective, scientific and convenient mine waterenvironment evaluation system and improve the accuracy of the evaluation results, AHP and EWM weight method arecombined to obtain the weight value, which is coupled with Bayesian water quality evaluation model. In this paper, sevenwater quality evaluation factors and ten groups of water samples are selected to analyze the application of mine water inShengquan coal mine, Shandong Province. At the same time, the single factor evaluation method, equal weightBayesian model and fuzzy comprehensive evaluation method are used to compare with the evaluation results to verifythe accuracy of the evaluation results of the model. The results show that the water quality evaluation model ofcombined weighted Bayesian model is reasonable for mine water quality evaluation, which not only distinguishes thedifference of each evaluation factor's contribution to water quality, but also makes a more accurate evaluation of waterquality, and the calculation process is simple, which avoids the complexity of multiple indicators of traditional methods,and provides a scientific basis for comprehensive utilization of mine water in mining area, so the evaluation method ispractical.&#x0D;

Evaluation of Soil and Ambient Air Pollution Around Un-reclaimed Mining Bodies in Nižná Slaná (Slovakia) Post-Mining Area

Thirty soil samples were taken, and the same number of moss (Dicranum scoparium) and lichen (Pseudevernia furfuracea) bags were exposed to detect environmental pollution in the former mining area Nižná Slaná. Soil and ambient air are influenced by hazardous substances, which leak from old mining bodies due to insufficient or completely missing reclamation. The total content of the risk elements (As, Cd, Co, Cu, Fe, Hg, Mn, Ni, Sb, Se, Pb, Zn) was determined in soil, moss, and lichen samples and in the bodies of Leccinum pseudoscabrum. Biological (soil enzymes—urease, acid phosphatase, alkaline phosphatase, fluorescein diacetate (FDA), ß-glucosidase) and chemical properties (pH) were determined in soil samples. Contamination factor (Cf), degree of contamination (Cd), pollution load index (PLI), and enrichment factor (EF) were used for soil and relative accumulation factor (RAF) for air quality evaluation. Contamination factor values show serious pollution by Cd, Fe, Hg, and Mn. Pollution load index confirmed extremely high pollution almost at all evaluated areas. Soil enzymes reacted to soil pollution mostly by decreasing their activity. Mosses and lichens show differences in the accumulation abilities of individual elements. Regular consumption of L. pseudoscabrum would provide the dose of Cd and Hg below the limit of provisional weekly intake. Based on the bioaccumulation index (BAF) values, L. pseudoscabrum can be characterized as an Hg accumulator.

Research on the Implementation Path of Cooperative Management of Marine Ecological Environment in China Based on Fuzzy Comprehensive Evaluation Model

Wang, B., 2020. Research on the implementation path of cooperative management of marine ecological environment in China based on fuzzy comprehensive evaluation model. In: Bai, X. and Zhou, H. (eds.), Advances in Water Resources, Environmental Protection, and Sustainable Development. Journal of Coastal Research, Special Issue No. 115, pp. 268-270. Coconut Creek (Florida), ISSN 0749-0208.In the 21st century, the political, economic, cultural and military strategic position of the sea has become increasingly prominent, and maritime security has become a problem that every coastal country cannot ignore. China is a large ocean country with extensive strategic interests in the ocean. The strategic position of the ocean in China's overall modernization is increasingly prominent. By establishing a statistical relationship model between marine ecological parameters and marine water quality evaluation factors, and introducing fuzzy comprehensive evaluation method into the comprehensive evaluation of marine water quality, this paper finally establishes a set of cooperative management model of marine ecological environment in China based on paste comprehensive evaluation. In order to provide basis for making scientific comprehensive prevention and control plan and comprehensive management of environmental pollution in marine ecological monitoring areas.

Grounded theory-based subjective evaluation of traditional Chinese performance buildings

Traditional Chinese performance buildings and performing arts are different from those in the west. However, sound quality evaluation factors for western halls have been used in traditional Chinese performance buildings for a long time. In this study, grounded theory was used to establish a sound quality evaluation system for traditional Chinese performance buildings. The subjective evaluation system for a traditional Chinese performance building was divided into the following six aspects: loudness dominant (loudness, definition, loudness balance, stage support (overall), and spaciousness); frequency dominant (brightness and fullness); reflected sound dominant (crispness, richness, harshness, and fusion); direction dominant (envelopment and directivity); quietness; and cultural cognition. The evaluation dimensions of western and traditional Chinese performance buildings were compared. In the Chinese evaluation system, the preference for loudness and brightness was higher than that in the western system. Moreover, crispness, harshness, and cultural cognition were not common in the western evaluation system, whereas envelopment and directivity were rarely mentioned in traditional Chinese evaluation system. Finally, the reasons for the differences between the two evaluation systems were analysed according to the architectural form, performance content, and culture. Envelopment, directivity, and quietness were found to be related to the differences in the architectural form and structure. The preference for brightness, crispness, and definition may be related to the form of performance. The ‘competitiveness’ and ‘renao’ (jollification) in traditional Chinese opera performances, as well as aesthetic pursuits had significant effects on the cultural differences.

Experimental comparison of speech transmission index measurement in natural sound rooms and auditoria

Speech intelligibility is an important factor for natural sound quality evaluation in rooms and auditoria. As an objective metric for predicting speech intelligibility, the application of the speech transmission index (STI) has increased significantly in recent years. In this study, three measurement systems were selected to measure the STI and speech transmission index for public address systems (STIPA) of 44 listening conditions at 11 receiver positions in 4 rooms. Thereafter, to explore the substantial differences among the three systems, three new measurement systems were developed, and the STI and STIPA under the same 44 listening conditions were measured again. The results reveal the following: (1) An obvious difference existed among the measurement results of the three selected systems, mainly caused by the influence of the sound source directivity, as well as the possible influences of the test signal sound pressure level calibration and the calculation procedure. The directivity of the microphone as well as the presence of a human body near the microphone influence the STI measurement results, although these affects are relatively small. (2) A small difference existed between the STIPA and STI, mainly owing to the room frequency response characteristics. (3) There was no essential difference between the measurement results of the indirect and direct methods; STI can be considered to expand the application scope of the indirect method. The findings in this study are significant for the application of the STI in the field of architectural acoustics.

Improved PSO Algorithm Based on Exponential Center Symmetric Inertia Weight Function and Its Application in Infrared Image Enhancement

In this paper, an improved PSO (Particle Swarm Optimization) algorithm is proposed and applied to the infrared image enhancement. The contrast of infrared image is enhanced while the image details are preserved. A new exponential center symmetry inertia weight function is constructed and the local optimal solution jumping mechanism is introduced to make the algorithm consider both global search and local search. A new image enhancement method is proposed based on the advantages of bi-histogram equalization algorithm and dual-domain image decomposition algorithm. The fitness function is constructed by using five kinds of image quality evaluation factors, and the parameters are optimized by the proposed PSO algorithm, so that the parameters are determined to enhance the image. Experiments showed that the proposed PSO algorithm has good performance, and the proposed image enhancement method can not only improve the contrast of the image, but also preserve the details of the image, which has a good visual effect.

Perceived service quality evaluation of clinical practice teaching based on undergraduate nursing program interns perspective

Objective To understand the status quo of clinical practice teaching quality based on undergraduate nursing program interns perspective, analysis the problems existing in the clinical practice teaching process, provide the basis for next making improvement scheme and measures. Methods Adopt the clinical practice teaching quality gap scale to survey the 82 undergraduate nursing program interns in the tumor affiliated hospital of Harbin medical university, to observe the clinical practice teaching quality score, and adopted the quadrant analysis method to do in-depth analysis of clinical practice teaching quality evaluation factors. Results the overall score of clinical practice teaching quality in a certain Class-three hospital was 74.65 points, responsive dimension was the highest score 81.00 points, assurance dimension was the lowest score 72.30 points. the indexes need to improve were to provide the corresponding channels of consulting for students, training hospital could listen to the opinions of the protection of life and the suggestion; the indexes need to reshape were easy to get teachers′ guidance and help in the internship time, special attention will be given special case for individual nursing students, training hospital introduces many policies as the starting point of the nursing students′ interests. Conclusion The hospital has larger improvement and promotion space on clinical practice teaching quality. Clinical practice teaching quality evaluation based on service quality gap model is helpful that practice hospital targeted to carry out the continuous improvement, enhance the level of practice teaching hospital. Key words: Undergraduate nursing program; Interns; Clinical practice; Perceived service quality evaluation