Construction of indicators for evaluating the quality of extended care for children with asthma.

BACKGROUND AND AIMS: To construct a set of scientific and effective quality evaluation indicators of continuing care for children with asthma, and to promote the development of continuing care for children with asthma toward a more specialized and standardized direction. METHODS: Through literature research and semi-structured interview, the item pool of evaluation index was drawn up, and the first draft of expert inquiry questionnaire was formed based on the three-dimensional quality theoretical model of structure-process-result, and the construction of quality evaluation index was completed through two rounds of expert inquiry and analytic hierarchy process. RESULTS: The effective recovery rate was 94.44% in the first round and 100.00% in the second round, the expert authority coefficient was 0.852 and 0.863, and the Kendal coordination coefficient was 0.129 and 0.126, respectively (p < 0.01). Finally, the evaluation index of continuing care quality for children with asthma was formed, including 3 first-level indicators, 9 s-level indicators and 36 third-level indicators, and then the weight and combination weight of each index were obtained by AHP. CONCLUSIONS: The evaluation index of continuing care quality for children with asthma is scientific and specific, which is of great significance to the improvement of continuing care quality for children with asthma.

Construction of an index system of core competence assessment for sleep medicine nurse specialists in China: a Delphi study.

AIM: To construct an evaluation index system for the core competence of nurses in sleep medicine specialties. BACKGROUND: Specialized nurses in sleep medicine must handle treatment, nursing, and management well, which requires nurses to have excellent competence in knowledge, skills, and ability. However, a competency evaluation system for sleep medicine nurses has not been established in China. METHODS: We used a literature review and an expert meeting to establish a draft indicator system. Subsequently, two rounds of correspondence were conducted with 27 experts from 5 provinces using the Delphi method to solicit their opinions on the core competency evaluation indicators for sleep medicine nurse specialists and to qualitatively evaluate the experts' scores. The consensus was defined in advance as a mean score of 4.0 or above, with at least 75% agreement among participants. In this way, the final indicator framework was determined. RESULTS: The final evaluation indexes of the core competencies for sleep medicine Nurse Specialists included 6 first-level indexes (Practical ability, Theoretical Knowledge, Critical thinking, Communication and coordination, Nursing Management, and Professional Development), 16 s-level indexes, and 64 third-level indexes. The effective response rates of the two expert consultation rounds were 100%. The expert authority coefficients were 0.878 and 0.865 in the first and second rounds of consultation, respectively. In the second round of consultation, the first, second, and third indexes of Kendall's coefficient of concordance were 0.373, 0.351, and 0.286, respectively (P < 0.05). CONCLUSION: The core competence evaluation index system for sleep medicine nurses established in this study is scientific and reliable and can provide a theoretical reference for the training, assessment, and evaluation of sleep medicine nurses in the future. IMPLICATIONS FOR NURSING MANAGEMENT: The evaluation index system of sleep medicine nurses' core competence will provide an effective practical framework for nursing management to evaluate, train, and examine the core competence of sleep medicine nurses.

Development and validation of a competency evaluation index system for nurse endoscopists with different stages performing endoscopy nursing in China: A modified Delphi study.

BACKGROUND: The advancement of endoscopic techniques has resulted in an increasing need for comprehensive competency in endoscopy nursing. However, there is currently no unified competency evaluation index system for nurse endoscopists in China. AIMS: To develop and validate of a competency evaluation index system for nurse endoscopists with different stages performing endoscopy nursing in China. DESIGN: A modified Delphi study. SETTINGS: Data were collected in a medical university affiliated hospital. PARTICIPANTS: A total of 569 participants in different fields were included at various phases of this research. METHODS: The preliminary indicators were designed after conducting a literature review, semi-structured interviews and questionnaires. Two rounds of correspondence with 30 experts using the Delphi method were conducted to evaluate the content of the index followed by reliability and validity tests. The competency evaluation index system for nurse endoscopists at different stages was developed through expert meetings based on the Delphi consultation results according to the novice-to-expert model. RESULTS: After two rounds of Delphi method consultation, we have established 4 first-level indicators ('Cognitive skill', 'Practice professional skills', 'Professional development skills' and 'Personal characteristics and inner qualities') and 21 s-level indicators, which are the detailed description of first-level indicators. According to the index weight analysis, the four first-level indicators are ranked from the largest to the smallest as practical professional skills, cognitive skills, professional development skills, personal characteristics and intrinsic qualities. Three different stages of nurse endoscopists competency evaluation forms and criteria were developed: primary stage (New skilled), intermediate stage (Capable) and advanced stage (Expert). CONCLUSIONS: The establishment of a competency evaluation index system based on the novice-to-expert model can accurately assess competency levels and help to effectively train the nurse endoscopists at different stages. Future research should focus on imbedding these competencies in nurse education.

Exploring high quality development of animal husbandry in Qinghai province from the perspective of the Tibetan sheep industry.

The Tibetan sheep industry is a typical representative of plateau animal husbandry and grassland animal husbandry and is also one of the characteristic industries in the Qinghai-Tibet Plateau region. The study of this industry is of great significance to promoting the high-quality development of animal husbandry and the region. Based on the production data and statistical data of Tibetan sheep in the main producing areas of Qinghai Province, this paper adopts the entropy method and the coupling coordination degree model to study the high-quality development of animal husbandry in Qinghai province from five dimensions: product quality, production efficiency, economic benefits, environmental friendliness and environmental conditions. The results showed that the high-quality development level and coupling coordination degree of the Tibetan sheep industry in Haibei Prefecture, Hainan Prefecture, Haixi Prefecture and Huangnan Prefecture of Qinghai Province showed an upward trend from 2015 to 2020. Among them, the high-quality development level of the Tibetan sheep industry in Haibei Prefecture and Hainan Prefecture of Qinghai Province significantly increased from 2019 to 2020, but the coupling coordination degree decreased.

Construction of a Food Safety Evaluation System Based on the Factor Analysis of Mixed Data Method.

Food safety evaluation, which aims to reflect food safety status, is an important part of food safety management. Traditional food evaluation methods often consider limited data, and the evaluation process is subjective, time-consuming, and difficult to popularize. We developed a new food safety evaluation system that incorporates simple qualification degrees, food consumption, project hazard degrees, sales channels, food production regions, and other information obtained from food safety sampling and inspection to reflect the food safety situation accurately, objectively, and comprehensively. This evaluation model combined the statistical method and the machine learning method. The optimal distance method was used to calculate the basic qualification degree, and then expert elicitation via a questionnaire and the factor analysis of mixed data method (FADM) was applied to modify the basic qualification degree so as to obtain the food safety index, which indicates food safety status. Then, the effectiveness of this new method was verified by calculating and analyzing of the food safety index in region X. The results show that this model can clearly distinguish food safety levels in different cities and food categories and identify food safety trends in different years. Thus, this food safety evaluation system based on the FADM quantifies the real food safety level, screens out cities and food categories with high food safety risks, and, finally, helps to optimize the allocation of regulatory resources and provide technical and theoretical support for government decision-making.

[Establishment and content validity assessment of evaluation index system for development value of traditional Chinese medicine preparations in medical institutions].

The development of traditional Chinese medicine(TCM) preparations as an incubator for new drugs in medical institutions has flourished, while an evaluation index system remains to be established for comprehensively assessing the development value of these prescriptions. This study established an item pool through literature research, employed the Delphi method to determine the content of evaluation indexes, and adopted the superiority chart to determine the weight of each index. Two-level evaluation index system for the development value of TCM preparations in medical institutions was established, which included 7 first-level items and 36 se-cond-level items, demonstrating scientific validity. The first-level items(weight) were inheritance(10.61%), effectiveness(23.22%), safety(22.71%), innovation(13.21%), economy(10.00%), suitability(8.57%), and accessibility(11.68%). The top three second-level items in terms of weight distribution were adverse reaction monitoring(6.73%), evidence of therapeutic effect(5.71%), and clinical response rate(4.75%). The bottom three second-level items were production advantages(0.86%), medicinal dosage(0.48%), and medicinal smell or taste(0.18%). The content validity of the established system was assessed, which revealed that the index system was reliable, with the overall and average content validity indexes of 0.47 and 0.90, respectively. Furthermore, the established evaluation index system was used to evaluate six TCM preparations in a city-level hospital of TCM in Sichuan Province, which demonstrated that the system had operability. The results indicate that the evaluation index system is scientific, reliable, and operable, providing a reference for developers to selectively develop TCM preparations in medical institutions. In practical application, the system can be adjusted regarding the index weights according to actual conditions.

Evaluation of groundwater quality in communities near Sokoban Wood Village.

Groundwater is vital for drinking, agriculture, and domestic use in Sokoban Wood Village, Ghana, but concerns exist about its quality. This study assessed the suitability of 20 groundwater samples for domestic purposes. The study was carried out in 2023. We collected samples from boreholes and hand-dug wells using standard methods, analyzing them for various physicochemical parameters (pH, electrical conductivity, turbidity, nitrates, fluorides, and heavy metals). The microbiological analysis assessed fecal coliforms and E. Coli to identify microbial contamination. Established methodologies were used to evaluate potential health risks (carcinogenic and non-carcinogenic) associated with heavy metals. The Water Quality Index (WQI), Hazard Potential Index (HPI), and Heavy Metal Evaluation Index (HEI) provided a comprehensive water quality evaluation. The results revealed that the water fell below the recommended WHO pH range for drinking water. While most other parameters and heavy metals fell within WHO guidelines, 25 % of the samples contained fecal coliforms and E. Coli, indicating ongoing microbial contamination. The overall cancer risk was low for all age groups. Although some parameters met WHO standards, the WQI classified 20 % of the samples as not of good quality. Despite this, the HPI and HEI (-4.62 and 0.001) suggested generally good water quality based on heavy metal content. In conclusion, despite some positive indicators, acidic water and microbial contamination raise concerns. Regular monitoring and potential treatment measures are crucial to ensure safe drinking water for the Sokoban Wood Village community.

Study on Spatial Effects of Influencing Factors and Zoning Strategies for PM2.5 and CO2 Synergistic Reduction.

China has identified the synergistic reduction of pollution and carbon emissions as a crit ical component of its environmental protection and climate mitigation efforts. An assessment of this synergy can provide clarity on the strategic management of both air pollution and carbon emissions. Due to the extensive regional differences in China, the spatial effects of influencing factors on this synergy exhibit variation across different provinces. In this study, the reduction indexes of PM2.5 and CO2 were calculated based on their reduction bases, reduction efforts, and reduction stabilities across provinces. Then, the synergistic reduction effect was assessed using an exponential function with the PM2.5 reduction index as the base and the CO2 reduction index as the exponent. Next, the MGWR model was applied in order to analyze the influencing factors of the synergistic reduction effect, considering natural settings, socioeconomic conditions, and external emission impacts. Finally, the k-means clustering method was utilized to classify provinces into different categories based on the degree of impact of each influencing factor. The results indicated that air circulation, vegetation, tertiary industry ratio, and emission reduction efficiency are major impact indicators that have a positive effect. The topography and emissions from neighboring provinces have a statistically significant negative impact. The spatial influences of different factors exhibit a distribution trend characterized by a high-high cluster and a low-low cluster. A total of 31 provinces are divided into three categories, and suggestions on the corresponding category are proposed, to provide a scientific reference to the synergistic reduction of PM2.5 and CO2.

Developments in the study of Chinese herbal medicine's assessment index and action mechanism for diabetes mellitus.

In traditional Chinese medicine (TCM), based on various pathogenic symptoms and the 'golden chamber' medical text, Huangdi Neijing, diabetes mellitus falls under the category 'collateral disease'. TCM, with its wealth of experience, has been treating diabetes for over two millennia. Different antidiabetic Chinese herbal medicines reduce blood sugar, with their effective ingredients exerting unique advantages. As well as a glucose lowering effect, TCM also regulates bodily functions to prevent diabetes associated complications, with reduced side effects compared to western synthetic drugs. Chinese herbal medicine is usually composed of polysaccharides, saponins, alkaloids, flavonoids, and terpenoids. These active ingredients reduce blood sugar via various mechanism of actions that include boosting endogenous insulin secretion, enhancing insulin sensitivity and adjusting key enzyme activity and scavenging free radicals. These actions regulate glycolipid metabolism in the body, eventually achieving the goal of normalizing blood glucose. Using different animal models, a number of molecular markers are available for the detection of diabetes induction and the molecular pathology of the disease is becoming clearer. Nonetheless, there is a dearth of scientific data about the pharmacology, dose-effect relationship, and structure-activity relationship of TCM and its constituents. Further research into the efficacy, toxicity and mode of action of TCM, using different metabolic and molecular markers, is key to developing novel TCM antidiabetic formulations.

The construction of urban cultural and creative industries using deep learning and information management.

The ongoing transition within the Chinese economy assumes a pivotal role in shaping the landscape of the cultural and creative industries (CCI). Renowned for its environmentally sustainable attributes, coupled with high productivity, CCI has garnered considerable attention across diverse societal strata. This study endeavors to delineate the determinants influencing the developmental trajectory of CCI, with a focal point on City A as the primary subject of investigation, juxtaposed against Cities G, D, B, H, and X for comparative analysis, leveraging developmental data from the year 2021. Initially, the study elucidates the conceptual framework underpinning CCI and its intrinsic significance in facilitating urban metamorphosis. Subsequently, the positive impact of CCI through deep learning and information management technology is emphasized, and a cultural and creative recommendation model based on LSTM algorithm is constructed. Through performance evaluation, the recommendation accuracy for cultural and creative projects reaches 94.74 %. A robust developmental assessment model for CCI is then constructed via meticulous factor analysis of pertinent influencers. Employing factor analysis techniques, the study identifies two primary determinants exerting sway over CCI development: sustainable profitability factors and cultural influence factors. Noteworthy among the factors influencing CCI development within City A are fixed asset investment, cultural industry financing, the proliferation of university-based research institutions, and per capita cultural expenditure by residents. Of these, fixed asset investment, cultural industry financing, and the density of university research institutions prominently impinge upon sustainable profitability, with a discernible impact weight of 0.738 in the evaluative framework of CCI development, thus significantly shaping its trajectory. Moreover, consumer psychological factors, particularly market consumption patterns, are observed to exert a discernible influence on CCI evolution. This study augurs fresh insights into the realm of CCI development, infusing it with renewed vigor and vitality. Moreover, it underscores the inherent interdependence and positive correlation among the various research factors, offering novel perspectives and methodologies germane to the advancement of urban CCI.

[Association of dietary quality during pregnancy with fetal immune function in Guangzhou].

OBJECTIVE: To investigate the situation of women's dietary quality during pregnancy and explore the correlations between maternal dietary index and fetal immune function. METHODS: From September 2010 to February 2011, pregnant women who had routine physical examination in Yuexiu District and Baiyun District Maternal and Child Health Hospital of Guangzhou were recruited as study objects to use 3-day 24-hour dietary review to investigate diet during pregnancy, and general demographic information of pregnant women was collected through questionnaire, and the neonatal umbilical cord blood was collected during delivery. Laboratory detection of immunological indicators included IgG, IgA, IgM, IFN-γ and IL-6. The quality of diet during pregnancy was evaluated by diet quality index for pregnancy(DQI-P), dietary balance index for pregnancy(DBI-P) and alternate Medierranean diet score(aMED). Spearman correlation analysis and multiple linear regression analysis were used to explore the correlations between dietary quality during pregnancy and fetal immune function. RESULTS: The mean score of total DQI-P score of the study subjects was 55.8±10.0, and the mean score of overall food diversity and protein food source diversity was as high as 12.0±2.4 and 4.8±0.7. The mean score of nutrient energy ratio and fatty acid energy ratio was only 0.3±1.0 and 0.4±1.0, indicating that the population had good dietary diversity during pregnancy, but the dietary adequacy, suitability and balance were poor. The total score of DBI-P score was-19.2±9.4. The positive end score was 4.6±2.9, only 7.2% of the subjects had a high degree of dietary intake during pregnancy. The negative end score was 23.9±7.9, indicating the status of moderate dietary intake. Dietary quality was 28.5±7.1. Only 0.6% of the study population had a balanced dietary situation, and more than 67.9% of pregnant women had high intake imbalance. The mean total score of aMED score was 4.9±1.3, and the proportion of the food intake of beans and nuts was less than the median population was 62.5% and 79.1%, respectively, indicating that the food intake of beans and nuts was insufficient in this population. After adjusting for confounding factors such as maternal age, parity, parity, prepregnancy BMI, weight gain during pregnancy, and mode of delivery, multiple linear regression analysis showed DQI-P during pregnancy and negatively with IL-6(ß=0.143, ß=-0.155, P<0.05). DBI-P was negatively associated with IL-6(ß=-0.177, P<0.01) and aMED and IFN-γ(ß=-0.161, P<0.01). CONCLUSION: The dietary quality of women in late pregnancy in Guangzhou is low, the dietary structure is unbalanced. Higher dietary quality during pregnancy can promote the development of fetal immune system and improve fetal immune function.

[Medical Equipment Management System Based on the Concept of Whole Life Cycle].

Objective: Strengthen the legal, compliant, and rational use of medical equipment and further guide the rationalization of medical behaviors. Methods: By utilizing the Internet of Things (IoT) and image analysis technology, collect real-time operation data of the equipment, establish a real-time running database for medical equipment, and cooperate with the 12 key links of the "whole life" of the equipment and the 8+6 management system framework to implement lean management of the efficiency, benefit, and effectiveness of medical equipment usage. Results: It realizes the improvement of the quality and efficiency of medical equipment, cost reduction and cost control, and provides data support for scientific decision-making. Conclusion: This study innovates the management model for the entire life cycle of medical equipment, providing a scientific approach to the management of hospital equipment.

Identifying ESG types of Chinese solid waste disposal companies based on machine learning methods.

In the context of China's efforts to combat climate change and promote sustainable development, the solid waste treatment industry's environmental, social, and corporate governance (ESG) performance is receiving significant attention. To comprehensively assess the ESG performance of the solid waste treatment industry and identify company types, this study constructs a targeted ESG evaluation index system based on existing literature, SASB industry standards, and company reports and utilizes a random forest approach combined with K-means clustering to determine indicator weights. Based on this index system, the paper evaluates the ESG performance of 71 solid waste disposal companies (SWDCs) from 2013 to 2021 and identifies their ESG types from static and dynamic perspectives. In the static view, company types are determined based on annual ESG performance, while the dynamic view considers time-series changes to observe the evolution of company ESG types. The results show that the overall ESG performance of SWDCs falls within the 2-8-point range, indicating a noticeable high-low imbalance. Key initiatives to improve ESG performance in this industry include enhancing waste management measures, developing emergency plans, and reinforcing ESG disclosure. From a static perspective, this paper can identify companies into three categories: delayed development, single-wheel-driven, and coordinated development. Finally, from a dynamic perspective considering the time factor, companies are further subdivided into five types: continual leading, growth catch-up, slow progress, fluctuating change, and retrogressive inertia. This study not only provides targeted recommendations for different types of ESG companies but also helps various sectors of society better understand the ESG conditions of this high environmental risk industry, thereby enhancing the regulation and support for its sustainable development.

Establishing a river health evaluation index system for seven rivers in Jiamusi City of China.

The Jiamusi section of the Songhua River is one of the first 17 model river construction sections in China. The implementation of river health assessments can determine the health dynamics of rivers and test the management's effectiveness. Targeting seven rivers, this study conducted river zoning and monitoring point deployment to conduct sufficient field research and monitoring. The authors selected hydrological and water resources, physical structure, water quality, aquatic life, social service functions, and management as guideline layers and 15 indicator layers. Subsequently, the authors established an evaluation index system to evaluate and analyze the ecological status and social service status of each river. The results showed that the Yindamu, Alingda, and Gejie rivers scored well as healthy rivers, with health evaluation scores of 78.98, 76.06, and 75.83, respectively. The Wangsanwu, Lujiagang, and Lingdangmai rivers are generally sub-healthy rivers with scores of 71.55, 67.97, and 60.7, respectively. The Yinggetu River has a score of 54.52 and is therefore assessed as unhealthy. Based on the scientific evaluation index method, this study analyses the current river health state in Jiamusi City to provide the basis for the evaluation of the river chief's work and future river management.

A physical fitness-evaluation system for outstanding Chinese male boxers.

Background: We sought to create a system to evaluate the physical fitness of outstanding Chinese male boxers that included an evaluation index, fitness level criteria, and modeling. This system was then used to assess athletes' physical fitness and development. Methods: Documentation, expert interviews, questionnaires, measurements, and statistical analyses were used in this study. Results: The physical fitness evaluation system included the following three components: (1) body shape indexes (n = 4) including the backhand upper arm circumference differential, finger span height, Cottrell index, and pelvic width/shoulder width × 100; (2) body function indexes (n = 4) including relative maximum anaerobic power, relative maximal oxygen uptake, and creatine kinase and testosterone concentrations; and (3) athletic quality indexes (n = 9) including the speed strength index, the backhand straight punch strength, 3-min cumulative punching force, backhand straight punch reaction time, backhand straight punch speed, 30-m sprint, 9-min double shake jump rope, 1-min double shake jump rope, and sitting forward bend tests. A five-point grading system to evaluate physical fitness was established and an evaluation model was proposed. Conclusions: The reference values were determined to be objective and effective using a back substitution process. Individual and differential assessments reflected the athletes' level of physical fitness. The critical values were established under the best and worst conditions and the optimal values were found to be valid and effective.

Enhanced Quick-Cooking Red Beans: An Energy-Efficient Drying Method with Hot Air and Stepwise Microwave Techniques.

This research introduced an energy-efficient drying method combining hot-air drying with stepwise microwave heating for producing quick-cooking red beans. Crucial parameters such as the effective diffusivity coefficient (De), and specific energy consumption (SEC) were examined across varying conditions with the aim of optimizing the drying condition. The results showed that De and SEC varied in a range of 0.53 × 10-9-3.18 × 10-9 m2·s-1 and 16.58-68.06 MJ·(kg·h-1)-1, respectively. The findings from the response surface methodology indicated that optimal drying conditions for cooked red beans are achieved at a hot air temperature of 90 °C, a microwave power of 450 W (corresponding to an initial intensity of 2.25 W·g-1), and a rotational speed of 0.2 Hz. These conditions lead to the maximum effective diffusivity coefficient and the lowest specific energy consumption. Further investigations into step-up (150-300 W to 300-450 W) and step-down (300-450 W to 150-300 W) microwave heating modes were conducted to refine the drying process for enhanced energy efficiency. The synthetic evaluation index revealed that step-down microwave heating strategies of 450 W-to-150 W and 300 W-to-150 W, applied at a temperature of 90 °C and a rotational speed of 0.2 Hz, were notably effective. These methods successfully minimized energy use while preserving the quality attributes of the final product, which were comparable to those of traditionally cooked and freeze-dried red beans. The combined approach of hot-air drying with step-down microwave heating presents a promising, energy-saving technique for producing quick-cooking beans that retain their rehydration qualities and texture.

Toward an application of automatic evaluation system for central facial palsy using two simple evaluation indices in emergency medicine.

A stroke is a medical emergency and thus requires immediate treatment. Paramedics should accurately assess suspected stroke patients and promptly transport them to a hospital with stroke care facilities; however, current assessment procedures rely on subjective visual assessment. We aim to develop an automatic evaluation system for central facial palsy (CFP) that uses RGB cameras installed in an ambulance. This paper presents two evaluation indices, namely the symmetry of mouth movement and the difference in mouth shape, respectively, extracted from video frames. These evaluation indices allow us to quantitatively evaluate the degree of facial palsy. A classification model based on these indices can discriminate patients with CFP. The results of experiments using our dataset show that the values of the two evaluation indices are significantly different between healthy subjects and CFP patients. Furthermore, our classification model achieved an area under the curve of 0.847. This study demonstrates that the proposed automatic evaluation system has great potential for quantitatively assessing CFP patients based on two evaluation indices.

Clarifying the correlations between hydraulic indicators evaluating the hydraulic performance of free water surface constructed wetlands.

Previous studies have shown a strong linear correlation between the common hydraulic indicators of free water surface constructed wetlands (FWS CWs), which results in the waste of computing resources and confusion in evaluating the hydraulic performance of FWS CWs. There is an urgent need to define a relatively independent and authoritative hydraulic indicator. In this study, based on three years' data, the correlations among five representative hydraulic indicators, that is, short-circuit index (φ10), Morrill dispersion index (MDI), effective volume ratio (e), moment index (MI), and hydraulic efficiency (λe), were analyzed by combining a variety of methods. The results of the correlation analysis and principal component analysis clearly showed the positive correlations among φ10, e, MI, and λe (p < 0.01), and the strong negative correlations between MDI and the remaining four indexes, which were further confirmed by redundancy analysis (RDA). Most importantly, the significant correlations between MI vs e and φ10 vs e were proved through rigorous mathematical reasoning for the first time. Besides, the results of RDA indicated that the studied design parameters, namely, water depth, hydraulic loading rate, plant spacing, aspect ratio, layout of inlet and outlet, and plant species, could generally explain the variation in hydraulic indicators. The layout of inlet and outlet displayed positive effects on hydraulic performance, and the water depth exhibited negative effects. Combining the clarity of physical meaning, convenience of calculation, and universality of reflecting both hydraulic and treatment performances, e was recommended as the most authoritative hydraulic indicator to evaluate hydraulic performance. The clustering results based on e were highly consistent with those based on the comprehensive principal component score. Wetlands with a combination of lower water depth and better layout of inlet and outlet usually have better hydraulic performance. This study successfully revealed the significant correlations among hydraulic indicators and their sources, and recommended a unique hydraulic indicator to authoritatively evaluate the hydraulic performance of FWS CWs.

Research on Coal and Gangue Recognition Based on the Improved YOLOv7-Tiny Target Detection Algorithm.

The recognition technology of coal and gangue is one of the key technologies of intelligent mine construction. Aiming at the problems of the low accuracy of coal and gangue recognition models and the difficult recognition of small-target coal and gangue caused by low-illumination and high-dust environments in the coal mine working face, a coal and gangue recognition model based on the improved YOLOv7-tiny target detection algorithm is proposed. This paper proposes three model improvement methods. The coordinate attention mechanism is introduced to improve the feature expression ability of the model. The contextual transformer module is added after the spatial pyramid pooling structure to improve the feature extraction ability of the model. Based on the idea of the weighted bidirectional feature pyramid, the four branch modules in the high-efficiency layer aggregation network are weighted and cascaded to improve the recognition ability of the model for useful features. The experimental results show that the average precision mean of the improved YOLOv7-tiny model is 97.54%, and the FPS is 24.73 f·s-1. Compared with the Faster-RCNN, YOLOv3, YOLOv4, YOLOv4-VGG, YOLOv5s, YOLOv7, and YOLOv7-tiny models, the improved YOLOv7-tiny model has the highest recognition rate and the fastest recognition speed. Finally, the improved YOLOv7-tiny model is verified by field tests in coal mines, which provides an effective technical means for the accurate identification of coal and gangue.

Utilizing machine learning for reactive material selection and width design in permeable reactive barrier (PRB).

Permeable reactive barrier (PRB) is an important groundwater treatment technology. However, selecting the optimal reactive material and estimating the width remain critical and challenging problems in PRB design. Machine learning (ML) has advantages in predicting evolution and tracing contaminants in temporal and spatial distribution. In this study, ML was developed to design PRB, and its feasibility was validated through experiments and a case study. ML algorithm showed a good prediction about the Freundlich equilibrium parameter (R2 0.94 for KF, R2 0.96 for n). After SHapley Additive exPlanation (SHAP) analysis, redefining the range of the significant impact factors (initial concentration and pH) can further improve the prediction accuracy (R2 0.99 for KF, R2 0.99 for n). To mitigate model bias and ensure comprehensiveness, evaluation index with expert opinions was used to determine the optimal material from candidate materials. Meanwhile, the ML algorithm was also applied to predict the width of the mass transport zone in the adsorption column. This procedure showed excellent accuracy with R2 and root-mean-square-error (RMSE) of 0.98 and 1.2, respectively. Compared with the traditional width design methodology, ML can enhance design efficiency and save experiment time. The novel approach is based on traditional design principles, and the limitations and challenges are highlighted. After further expanding the data set and optimizing the algorithm, the accuracy of ML can make up for the existing limitations and obtain wider applications.