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Based on the concept of life, this paper analyzed the basic characteristics of rivers with life, demonstrated the natural value and intrinsic value of rivers, expounded the definition of river ethics, and built the ecological basin theory system based on river ethics. Using river ethics and principal component analysis, it analyzed river ethics in eight dimensions of water security, water resources, water economy, water management, water culture, water environment, water ecology and water landscape in Weihe River Basin, and initially explored the principal component index system of ecological basin based on river ethics. The principal component analysis results show that in the management of the Weihe River watershed, it is essential to prioritize comprehensive coordination across all dimensions. Management efforts should focus on the key elements identified through principal component analysis, while integrating river ethics into the development of ecological watershed. [ABSTRACT FROM AUTHOR]

The existing research on security risk often focuses on specific types of crime, overlooking an integrated assessment of security risk by leveraging existing police resources. Thus, we draw on crime geography theories, integrating public security business data, socioeconomic data, and spatial analysis techniques, to identify integrated risk points and areas by examining the distribution of police resources and related factors and their influence on security risk. The findings indicate that security risk areas encompass high-incidence areas of public security issues, locations with concentrations of dangerous individuals and key facilities, and regions with a limited police presence, characterized by dense populations, diverse urban functions, high crime probabilities, and inadequate supervision. While both police resources and security risk are concentrated in urban areas, the latter exhibits a more scattered distribution on the urban periphery, suggesting opportunities to optimize resource allocation by extending police coverage to risk hotspots lacking patrol stations. Notably, Level 1 security risk areas often coincide with areas lacking a police presence, underscoring the need for strategic resource allocation. By comprehensively assessing the impact of police resources and public security data on spatial risk distribution, this study provides valuable insights for public security management and police operations. [ABSTRACT FROM AUTHOR]

The seismic design philosophy based on resilience represents the latest development in structural seismic design theory and is currently the most advanced concept in the field of seismic design research. A building site serves as the foundation and environment for structures, and evaluating its seismic resilience is a crucial aspect of designing and assessing buildings' seismic resilience. To meet the needs of evaluating building seismic resilience, the concept of seismic resilience for building sites is introduced in this paper. This evaluation is approached from three dimensions: seismic action, site seismic capacity, and site recovery capability. An indicator system for evaluating the seismic resilience of building sites is constructed using 23 key indicators that reflect the site's seismic resilience. A seismic resilience evaluation model for building sites is established based on the TOPSIS model and the entropy method. The feasibility and rationality of the proposed evaluation method are demonstrated through application examples. The research findings in this paper provide a valuable reference for advancing the evaluation of both building seismic resilience and site seismic resilience. [ABSTRACT FROM AUTHOR]

Summary: The advancement of teaching quality is an indispensable section of the reform and growth of universities, and ideological and political education has critical impact on ideological education. The quality of classroom education can provide data support for efficient development, and has crucial influence on achieving scientific, reasonable, and accurate evaluation of ideological and political teaching performance. Thus, a performance assessment system for ideological and political education in universities with genetic algorithm optimized neural network algorithm is put forward. First, based on existing teaching evaluation indicators and combined with actual situations, a targeted teaching quality evaluation system is proposed. Then, based on BP, an adaptive genetic algorithm is proposed for improvement, and the output results are improved using entropy method. The results indicated that the proposed model could reach its optimal state after 81 iterations in this study. In the fitting test, it reached 0.971. In actual testing, the average error was only 2.68, which was much bigger than the other three algorithms. Its accuracy was 2%–3.2% higher than that of the best existing algorithms. These results indicated that the method put forward in this study had better practical significance, lower error, more accurate evaluation results, and offered scientific data support for the education reform work of universities, which can better accelerate the development and construction of universities. [ABSTRACT FROM AUTHOR]

Ecological vulnerability assessment is crucial for environment protection, ecological restoration and resource utilization. However, many former studies have limitations in the indicator system of the assessment, which were not comparable for different types of ecologically vulnerable areas. It is difficult to apply directly to the ecological vulnerability assessment of different types and in various regions. Aiming to solve these problems, the study proposed a well-established and comprehensive indicator system for ecological vulnerability assessment and conducted ecological vulnerability assessment application of five types of typical ecologically vulnerable areas of China based on remote sensing, meteorological, geographic and other data. The results show that the average EVIs value of Zhangbei County ranging from 0.525 to 0.559 are the highest among the five research areas during the four periods, followed by Zoige region and Xiamen bay. However, the region with the lowest average EVI value varies. In 2005 and 2015, it was Taihe County, while in 2010 and 2020, it was the Sanjiangyuan region. The variation of average EVIs in the five typical areas presents slight fluctuation and remains generally stable from 2005 to 2020. It indicates that the environmental protection measures and projects undertaken by the Chinese government in recent years have had a striking effect, curbing the trend of ecological environment deterioration. [ABSTRACT FROM AUTHOR]

Using multi-source data like remote sensing images, resource point coordinates, road networks and land type, a suitability assessment system for red study greenway route selection is constructed with red study resource layer, traffic condition layer, ecological condition layer, and service radius layer as the selection elements. Analytic Hierarchy Process (AHP) and Delphi method aree used to determine the selection factors and weight allocation of each element, and the single factor evaluation and multi factor overlaying analysis are used to accurately identify suitable selection corridors. The potential position is determined based on the lowest cost path. Finally, the final red study greenway is obtained through manual optimization based on the current situation of the road network. The analysis results show that the areas with the highest suitability were those with the richest distribution of first, second, and third level red study resources. An effective connection of red resource points and various elements helps to enhance the competitiveness of red study tours in Ji’an County, providing a realistic path for selecting study greenways for cities rich in red resources. [ABSTRACT FROM AUTHOR]

Although scholars have discussed in depth about the evaluation content and the construction of evaluation index system of emergency management and crisis management, a unified and standardized interpretation of system construction concepts and empirical research on the performance evaluation of urban emergency management is still lacking. In view of this, this paper is based on the theory of the crisis life cycle, with the four phases of urban emergency management and the content of the task as a clue, constructed a performance evaluation index system containing 12 primary indicators and 44 secondary indicators, and centered on the emergency management work situation of S city. The study reveals that emergency management underperforms in S city, with a score of 5.948, qualifying as the "defined level". The "prevention and preparedness stage" receives poor evaluation, indicating a significant bias for crisis response instead of prevention. The report suggests the improvement of emergency material stockpile planning, the formation of grassroots emergency response teams, the emergency management publicity, and special emergency drill plans, etc., with a view to providing reference for city managers to comprehensively review and evaluate the emergency management system, and to promote the construction of a more systematic, complete and scientific urban emergency management system. [ABSTRACT FROM AUTHOR]

ObjectiveTo develop a conceptual framework and a system of indicators for evaluating the effectiveness of basic public health services projects, and to provide scientific approaches and tools for such evaluations. MethodsGuided by the health output, and considering the characteristics of public health services and the content of China′s basic public health service projects, as well as relevant theoretical models, we elaborated on the basic dimensions of evaluating the effectiveness of basic public health service projects and constructed a conceptual framework based on the elaboration between 2021 and 2022. Through in-depth individual interviews, Delphi expert consultations, and expert panels, an indicator system for evaluating the effectiveness of a basic public health services project was developed and the weights of the indicators were determined using the analytical hierarchy process. ResultsThe conceptual framework developed to evaluate the effectiveness of China′s basic public health projects includes five aspects: improving population health literacy, improving health status, reducing environmental risk factors, innovating and improving related health policies and systems, and increasing supply and demand satisfaction. The results of the expert consultation showed that the Delphi experts′ familiarity coefficient was 0.92, the judgment coefficient was 0.88, and the authority coefficient was 0.9. Ultimately, the study created an indicator system for evaluating the effectiveness of basic public health projects that includes 5 primary dimensions, 18 secondary indicators, and 52 tertiary indicators. Data relevant to the indicators could be collected through health information monitoring systems and online surveys. Regarding the weights of the primary dimensions, the highest weight was assigned to health status (0.448 2), followed by health literacy (0.205 8). ConclusionThe conceptual framework and indicator system for evaluating basic public health service projects constructed in this study emphasize a value-oriented approach to health outcomes with high accuracy and reliability. This system fully utilizes available health information monitoring data, demonstrates good operability, and comprehensively covers evaluation contents, positioning it as a scientific tool for evaluating the effectiveness of basic public health service projects.

Objective To construct an evaluation index for the post competency of case managers of diabetes foot, and to provide an objective and scientific theoretical basis for the selection, training and assessment of case managers of diabetes foot. Methods Based on the iceberg model of post competency, through literature review and semi-structured in-depth interview and consultation with 10 specialized nurses from different departments in the hospital, the primary index of post competency evaluation for case managers of diabetic foot was established, and 19 experts were consulted by Delphi expert letter method for three rounds, and the index system of post competency evaluation for case managers of diabetic foot was established in combination with the actual situation and expert opinions of the hospital. Results After three rounds of consultation, the questionnaire response rate was 100%, with Kendall′s harmony coefficients of 0. 136-0. 270, 0. 182-0. 235, 0. 184-0. 341, and expert authority coefficients of 0. 926, 0. 955, and 0. 961, respectively. Finally, a competency evaluation index system for diabetes foot case managers was formed with five first level indicators（nursing decision-making ability, interpersonal communication ability, quality supervision ability, education guidance ability, scientific research innovation ability), 13 second level indicators, and 69 third level indicators. Conclusion The competency evaluation index system of diabetes foot case managers constructed in this study is scientific, practical and reliable, which can provide quantifiable index reference for the selection, training, assessment and evaluation of diabetes foot case managers. [ABSTRACT FROM AUTHOR]

In recent years, urban floods have occurred frequently in China. Therefore, there is an urgent need to strengthen urban flood resilience. This paper proposed a hybrid multi-criteria group decision-making method to assess urban flood resilience based on heterogeneous data, group decision-making methodologies, the pressure-state–response model, and social–economic–natural complex ecosystem theory (PSR-SENCE model). A qualitative and quantitative indicator system is formulated using the PSR-SENCE model. Additionally, a new weighting method for indicators, called the synthesis weighting-group analytic hierarchy process (SW-GAHP), is proposed by considering both intrapersonal consistency and interpersonal consistency of decision-makers. Furthermore, an extensional group decision-making technology (EGDMT) based on heterogeneous data is proposed to evaluate qualitative indicators. The flexible parameterized mapping function (FPMF) is introduced for the evaluation of quantitative indicators. The normal cloud model is employed to handle various uncertainties associated with heterogeneous data. The evaluations for Beijing from 2017 to 2021 reveal a consistent annual improvement in urban flood resilience, with a 14.1% increase. Subsequently, optimization recommendations are presented not only for favorable indicators such as regional economic status, drainability, and public transportation service capacity but also for unfavorable indicators like flood risk and population density. This provides a theoretical foundation and a guide for making decisions about the improvement of urban flood resilience. Finally, our proposed method shows superiority and robustness through comparative and sensitivity analyses. [ABSTRACT FROM AUTHOR]

In the digital age, not only has the scope of indicator monitoring expanded but also the indicators themselves have become increasingly multilevel. Theoretically, the greater the number of levels, the more uncertainty there is in the indicators' weights. This necessitates the evaluation of the robustness of scheme comparisons to reduce evaluation risks. By using partial order evaluation methods as analytical tools, this study aims to delineate the principles and methods of partial order representation for single-level indicators. Based on this delineation, it then aims to analyze the representation methods for multilevel indicators. The results reveal that for a two-level indicator system, it is only necessary to clarify the order of weights between the first- and second-level indicators. Through a partial order Hasse diagram, the schemes can be ranked and the robustness of the comparison can be analyzed. Furthermore, three- and four-level indicator systems can be decomposed into several two-level indicator systems to complete the partial order evaluation. A case analysis demonstrates that the partial order uncertainty analysis method can integrate decision-makers' preferences. The Hasse diagram not only ranks the schemes but also achieves stratified clustering, which intuitively reflects the stability of the schemes. [ABSTRACT FROM AUTHOR]

BACKGROUND: With the change of human disease spectrum and the increase of public emergencies, the public's demand for health services and health is gradually increasing and higher expectations are placed on public health personnel. OBJECTIVE: Research needs to establish a comprehensive system of evaluation indices for accurate assessment of the core competencies of public health personnel, to enhance their core competitiveness, and introduce novel approaches to evaluate talent development in the field of public health. METHODS: The study is based on the CIPP (Context Input Process Product) model and uses literature analysis, semi-structured interviews, and Delphi methods to construct an evaluation index system for the core competitiveness of public health talent cultivation. The entropy method is used to determine the weight of the model evaluation index. Finally, the improved Artistic Be Colony algorithm (ABC) is used to optimize the BP network, and apply it to evaluate the core competitiveness of public health talent cultivation. RESULTS: The improved BP network achieved the target accuracy within 11 iterations, with the optimal value observed after 16 iterations, producing an MSE (Mean Square Error) value of 10–13. The evaluation of the index system reported a 97% accuracy, and upon application to the university's public health training programme, nearly 50% of students and teachers achieved core competitiveness quality scores above 90. CONCLUSIONS: The aforementioned method suggests that it can proficiently assess the fundamental competitiveness of training for public health personnel and offer guidance for future development in the domain of public health. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Ecology & Rural Environment is the property of Journal of Ecology & Rural Environment Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The assumption space of ID3 algorithm contains all decision trees, and the search space is also a complete assumption space. The current assumptions based on the information gain standard, and uses the information gain to reduce the sensitivity to individual training sample errors. Based on ID3 decision tree algorithm, this paper provides new ideas and methods for the quality optimization of tourist attractions. Firstly, ID3 decision tree algorithm model is constructed based on information entropy theory; Then, based on the literature research and system research methods, the quality evaluation indicator system of tourist attractions is constructed; Finally, based on the mathematical model and evaluation indicator system, the empirical research was carried out, and the data of 17 tourist attractions were collected. The expected research results were obtained according to the data preprocessing, data calculation process, decision tree construction and rule generation process. The research finds that the quality evaluation process of tourist attractions based on ID3 decision tree model, through data preprocessing, data calculation, decision tree construction and decision rules generation, etc. it can be concluded that the "Tourism environment quality" attribute is the most important in this evaluation system, and "Tourism landscape quality" is relatively important. Tourist attractions can improve the work and quality of tourist attractions according to the research results. [ABSTRACT FROM AUTHOR]

Background: The safety of medication use among older adults is a growing concern, given the aging population. Despite widespread attention, the exploration of medication literacy in older adults, particularly from the perspective of information literacy, is in its nascent stages. Methods: This study utilized the existing literature to define medication information literacy (MIL) as a theoretical framework. A two‐round Delphi survey was conducted to identify the essential components of a MIL indicator system for older adults. The analytic hierarchy process (AHP) was then used to assign weights to each indicator. Results: The study observed relatively high response rates in both rounds of the questionnaire, which, along with expert authority coefficients (Cr) of 0.86 and 0.89, underscores the credibility and expertise of the panellists. Additionally, Kendall's coefficient of concordance (Kendall's W) ranging from 0.157 to 0.33 (p < 0.05) indicates a consensus among experts on the identified indicators. Utilizing the Delphi process, a MIL indicator system for older adults was developed, comprising five primary and 23 secondary indicators. These indicators were weighted, with medication information cognition and acquisition emerging as pivotal factors in enhancing medication literacy among older adults. Conclusions: This study developed a MIL indicator system tailored for older adults using the Delphi approach. The findings can inform healthcare professionals in providing customized medication guidance and assist policymakers in crafting policies to enhance medication safety among older adults. Patient or Public Contribution: Patient and public engagement played a pivotal role in the development of our medication information literacy indicator system for older adults. Their involvement contributed to shaping research questions, facilitating study participation, and enriching evidence interpretation. Collaborations with experts in geriatric nursing, medicine, and public health, along with discussions with caregivers and individuals with lived experience, provided invaluable insights into medication management among older adults. Their input guided our research direction and ensured the relevance and comprehensiveness of our findings. [ABSTRACT FROM AUTHOR]

The complex structure and multiple controllability metrics of the new power system require a comprehensive assessment approach. We propose a controllability assessment method based on the Lagrangian function, analyzing key factors that influence controllability. Our index system includes distributed power supply utilization rate, energy storage station charge state, power factor, and voltage offset. Using Lagrange shadow price theory, we construct a guideline layer index system treating bottom indexes as constraints. We formulate an optimization function utilizing the Lagrangian shadow price theory and considering weights calculated from the bottom index’s shadow price. These weights inform primary evaluation. By combining primary evaluation results, weights, and variable coefficients using the percentage system method, we determine comprehensive evaluation results for the new power system’s controllability. Experimental results demonstrate the high reliability of this method’s evaluation indexes, indicating their effectiveness. This research provides valuable insight for the advancement of the new power system. Region 1 had the lowest overall evaluation score of 51.57 and was rated general. The overall score of Region 2 was 77.24, which was considered good. Region 3 received the highest overall score of 86.29 and was rated as excellent.Article Highlights: Using Lagrange’s shadow price theory. Construct the index system with the underlying index as the constraint condition. The results of comprehensive evaluation of controllability of new power system are determined. [ABSTRACT FROM AUTHOR]

Copyright of Asian Journals of Ecotoxicology is the property of Gai Kan Bian Wei Hui and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Journal of Academic Library & Information Science is the property of Anhui University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Resources Development & Market is the property of Sichuan Resource Development & Market Magazine Co., Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Background The existing family doctor team performance appraisal system is lack of incentive effect, which has hindered the quality development of contracted family doctor services. However, the performance appraisal system based on family doctor teams includes two processes of "primary distribution" and "secondary distribution", which is more capable of mobilizing the work motivation of the family doctor team members. At present, there is a lack of performance evaluation indicator systems for family doctor assistants and public health physicians, although these two groups of people play an important role in the family doctor team. Objective To construct "secondary distribution" indicator system of family doctor team performance based on contracted service fee, with regard to the roles of family doctor assistants and public health physicians. Methods The draft of the "secondary distribution" indicator system of family doctor team performance was preliminarily formulated through literature analysis and semi-structured interview. On the basis of the draft, an expert consultation questionnaire was designed, and two rounds of expert consultation were implemented and completed from October 2021 to April 2022 to develop the "secondary distribution" indicator system of family doctor team performance based on contracted service fee was established. Results The recovery rates of the two rounds of expert consultation questionnaires was 100.0%. For the secondary distribution system of family doctor assistants and public health physicians, the authority coefficient for the first round of correspondence was 0.742 2 and 0.742 0, respectively. Finally, the "secondary distribution" indicator system of family physician assistants, including 3 first-level and 10 second-level indicators, and the "secondary distribution" indicator system of public health physicians, including 3 first-level and 13 second-level indicators, were constructed. Conclusion The final "secondary distribution" indicator system of family physician assistants with 3 primary indicators and 10 secondary indicators and "secondary distribution" indicator system of public health physicians with 3 primary indicators and 13 secondary indicators is logical and scientific to a certain extent, reflecting the labor value of family doctor assistants and public health doctors in the family doctor team in providing contracted services, which is conducive to the special incentive function of contracted service fee and needs to be optimized and improved in the actual assessment in the future.

Background The family doctor contract service is being vigorously promoted. Compared with the individual performance appraisal scheme, the performance appraisal scheme based on the family doctor team including the two processes of "first distribution" and "secondary distribution" is more capable of mobilizing the work motivation of family doctor team members, thus improving service efficiency and quality. Objective To develop the "first distribution" indicator system of family doctor team performance based on contract service fee. Methods The draft of the "first distribution" indicator system of family doctor team performance was preliminarily formulated through literature analysis and semi-structured interviews. On the basis of the draft, an expert consultation questionnaire was designed, and two rounds of expert consultation were implemented and completed from October 2021 to April 2022 to develop the "first distribution" indicator system of family doctor team performance based on contract service fee. Results The recovery rate of the two rounds of expert consultation questionnaires was 100.0%. The authority coefficient of the first round of correspondence was 0.761 6, and the Kendall coordination coefficients of the two rounds of consultations were 0.067 (P

Background Hierarchical diagnosis and treatment system is crucial for deepening the medical and health system reform and establishing the basic medical and health system with Chinese characteristics. Primary care institutions play an essential role in hierarchical diagnosis and treatment system by assuming the role of "gatekeepers" of residents health. The post competency of general practitioners, who are the core of primary care institutions, significantly influences the service capacity of these institutions. Objective To construct an indicator system for the evaluation of post competency of general practitioners in primary care institutions. Methods From September to December 2022, 13 medical professionals were consulted through two-round Delphi expert consultation method; the hierarchical analysis and entropy method was used to calculate the weights of the indicators. Results The indicator system was optimized and sifted through two rounds of Delphi expert consultation, the evaluation system of primary general practitioners was finally constructed, consisting of 5 primary indicators and 27 secondary indicators. The weights of the indicators at all levels were clarified through the hierarchical analysis combined with the entropy method, in which the basic public health service capacity indicator had the highest weight and was the core indicator. The indicator system was tested for reliability and validity by small samples, and all of them were at an acceptable level. Conclusion An indicator system for evaluation the post competency of general practitioners in primary care institutions was constructed, contributing to the selection and appointment of general practitioners, which will provide an objective reference for the evaluation of post competence of general practitioners in primary care institutions.

As the key stage of operational concept development, capability requirement analysis is the process of analyzing solutions to specific operational problems, and defining various demand elements such as capability indicators, indicator thresholds, and indicator relationships. This analysis process needs to be supported by a scientific and reasonable indicator system with military significance. This indicator system should not only have the traditional purpose, integrity and measurability of indicators, but also have the characteristics of integration and hierarchy, emergence and aggregation, and qualitative and quantitative combination. Aiming at the above requirements, it takes the operational concept of "stereoscopic projection" as the research object. Firstly, based on DoDAF2.0, an operational concept architecture model with capability requirements as the core is built; Based on the characteristics of capacity demand analysis, a super network indicator system including three node networks is designed; Finally, according to the designed super network structure, based on the built operational concept architecture model, the capability requirement analysis indicator system is established, and the effectiveness of the method is analyzed.

The assessment and comparison of the S&T innovation competitiveness among the provinces and regions in the Yellow River Basin are helpful to better utilize the supporting and leading role of S&T innovation in the ecological protection and high-quality development of the Yellow River Basin. Combined with the real characteristics of S&T innovation in the Yellow River Basin, the study considers five dimensions horizontally: S&T innovation input, S&T innovation output, S&T entrepreneurial condition, S&T innovation revenue, and S&T innovation influence. Vertically, it considers two types of indicators, namely, strength and efficiency, and constructs the index system of evaluation of S&T innovation competitiveness in the Yellow River Basin. A multi-dimensional indicator system for measuring the competitiveness of S&T innovation in the Yellow River Basin is constructed, taking into account the differences in scale and efficiency indicators. Based on this, the study analyzes the evolution trend and current situation of S&T innovation competitiveness of the nine provinces and regions in the Yellow River Basin from 2012 to 2021, and further compares the differences in S&T innovation competitiveness among the provinces and regions in the Yellow River Basin. The study finds the followings. (1) The nine provinces and regions in the Yellow River Basin have formed three echelons with significant differences in the level of S&T innovation competitiveness, and the upstream provinces and regions lag behind noticeably in S&T innovation competitiveness. (2) The evaluation results of five horizontal dimensions show that the low level of S&T entrepreneurship conditions and S&T innovation benefit are the key factors constraining the S&T innovation competitiveness of all provinces and regions in the Yellow River Basin. (3) The results of vertical "strength-efficiency" evaluation show that Shandong Province, which is in the first echelon of S&T innovation competitiveness in the Yellow River Basin, should focus on improving its competitive effectiveness in S&T innovation, while the provinces and regions in the third echelon (Inner Mongolia, Qinghai, Gansu, Shanxi, and Ningxia) should optimize their competitive strength in S&T innovation. Finally, the study proposes countermeasures to improve the competitiveness of S&T innovation in the Yellow River Basin. [ABSTRACT FROM AUTHOR]

Copyright of Agricultural Outlook (1673-3908) is the property of Institute of Agricultural Information, Chinese Academy of Agricultural Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In order to strengthen the evaluation of the quality of sustainable entrepreneurship education in universities, a study was conducted to calculate the correlation degree of the quality of sustainable entrepreneurship education in universities based on the grey correlation algorithm. The study also constructs an evaluation index system and evaluation model from three aspects: the foundation of the entrepreneurship education environment, the allocation of entrepreneurship education resources and the performance of starting an undertaking education result. The result that the evaluation model is more similar to the actual situation indicates that the evaluation indexes have a certain degree of scientificity. The evaluation method of starting an undertaking sustainable education in C&U based on the grey correlation degree algorithm has higher accuracy, recall, and F1 value compared with the traditional way. Therefore, the method has a better evaluation effect for the quality evaluation of entrepreneurship sustainable education in C&U. [ABSTRACT FROM AUTHOR]

Assessing the urban residential environment quality (REQ) is essential for advancing sustainable urban development and enhancing urban residents' living standards. Traditional REQ assessments rely on statistical data, prone to delays and lacking holistic insight. This study takes residential blocks as the analysis units and is conducted within the area of the Sixth Ring Road in Beijing. It synthesizes multi-source geospatial data to devise a comprehensive framework for assessing urban REQ, incorporating facets of environmental health and comfort, housing comfort, transportation convenience, city security, and life convenience. Utilizing the principle of minimal relative informational entropy, this study integrates the Analytic Hierarchy Process (AHP) with the entropy method to determine the weight of each evaluative criterion. Subsequently, a linear weighting technique is employed to ascertain the scores for each evaluative criterion, thus facilitating a detailed examination of the REQ. Finally, the research probes into the complex interrelation between the assessed REQ and the city's Gross Domestic Product (GDP) and carbon emissions across varying scales. Findings reveal that (1) the overall REQ within Beijing's Sixth Ring Road is superior at the center and diminishes towards the periphery. (2) The dispersion of environmental health and comfort and city security metrics is relatively uniform, showing minor variations; however, a marked disparity is observed in the distribution of housing comfort metrics. (3) Regions characterized by higher GDP tend to demonstrate relatively higher levels of the REQ. Conversely, areas boasting higher-quality urban REQ are more inclined to exhibit increased levels of carbon emissions. [ABSTRACT FROM AUTHOR]

Evaluating the coordination among water resources, social economy, and ecological environment could offer guidance for the utilization and management of water resources in the Yellow River. An evaluation index system for water resources carrying capacity was constructed based on the subsystems of water resources, social economy, and ecological environment. The VIKOR method was utilized to assess the water resources carrying capacity of nine provinces along the Yellow River from 2008 to 2021. Additionally, the Mantel test method was introduced to analyze the categories of water resources carrying capacity and their influencing factors. The results show that the water resources carrying capacity of nine provinces along the Yellow River have exhibited a continuous upward trend from 2008 to 2021. With the enhancement of social and economic development and ecological environment protection, the level of water resources carrying capacity has notably increased after 2015. Spatially, there is a pattern of strong capacity in the west, followed by the east, and weaker capacity in the middle. Among them, Qinghai is the strongest, and Ningxia is the weakest. The types of water resources carrying capacity vary in each province. Qinghai, Gansu and Shaanxi fall under the category of water resources endowment type, while Ningxia and Inner Mongolia are classified as water resources-social economy type. Sichuan, Shanxi, Henan, and Shandong are categorized as comprehensive type. Water resources endowment forms the basis of water resources carrying capacity in nine provinces along the Yellow River. Factors such as water production modulus, per capita water resources, and precipitation depth are key determinants of the water resources subsystem. Moreover, there is a high reliance on the social economy and ecological environment subsystem, which necessitate enhancement through industrial upgrading, improving water use efficiency, and ecological environment protection. [ABSTRACT FROM AUTHOR]

Copyright of Industrial Minerals & Processing / Huagong Kuangwu yu Jiagong is the property of Industrial Minerals & Processing Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

With the advancement of the national "dual carbon" strategic goals and the planning of new energy systems, the proportion of new energy connected to the power grid is rapidly increasing. Therefore, it is urgent to accelerate the planning and construction of energy storage, and promote the transition of the power system from "source-network-load" to "source-network-load-storage" multi entity coordinated evolution. In this context, from the perspective of energy storage as a regulatory resource, this article establishes a comprehensive evaluation index system for the power grid that fits the connotation of the new power system. The selection of indicators follows the SMART principle to ensure the application value and operability of the indicators; and uses the Analytic Hierarchy Process to calculate the weights of each indicator layer by layer. Taking the four provinces in Central China of State Grid as examples for analysis, the evaluation results of each province can be clearly quantified, among which Hunan has the highest comprehensive score. The research results of this article have certain guiding significance for the implementation and comprehensive evaluation of energy storage planning in various regional power grids. [ABSTRACT FROM AUTHOR]

Degradation of black soil areas is a serious threat to national food security and ecological safety; nevertheless, the current lack of information on the location, size, and condition of black soil farmland productivity is a major obstacle to the development of strategies for the sustainable utilization of black soil resources. We synthesized remote sensing data and geospatial thematic data to construct a farmland productivity assessment indicator system to assess the productivity of black soil cropland at the regional scale. Furthermore, we conducted research on the spatial differentiation patterns and a spatial autocorrelation analysis of the assessment results. We found that farmland productivity within this region exhibited a decline pattern from south to north, with superior productivity in the east as opposed to the west, and the distribution follows a "spindle-shaped" pattern. Notably, the Songnen and Sanjiang typical black soil subregions centrally hosted about 46.17% of high-quality farmland and 53.51% of medium-quality farmland, while the Mondong typical black soil subregion in the west predominantly consisted of relatively low-quality farmland productivity. Additionally, farmland productivity displayed a significant positive spatial correlation and spatial clustering, with more pronounced fluctuations in the northeast–southwest direction. The developed indicator system for farmland productivity can illustrate the spatial differentiation and thereby offer a valuable reference for the sustainable management of farmland resources. [ABSTRACT FROM AUTHOR]

As the key stage of operational concept development, capability requirement analysis is the process of analyzing solutions to specific operational problems, and defining various demand elements such as capability indicators, indicator thresholds, and indicator relationships. This analysis process needs to be supported by a scientific and reasonable indicator system with military significance. This indicator system should not only have the traditional purpose, integrity and measura- bility of indicators, but also have the characteristics of integration and hierarchy, emergence and aggregation, and qualitative and quantitative combination. Aiming at the above requirements, it takes the operational concept of " stereoscopic projection" as the research object. Firstly, based on DoDAF2.0, an operational concept architecture model with capability requirements as the core is built; Based on the characteristics of capacity demand analysis, a super network indicator system including three node networks is designed; Finally, according to the designed super network structure, based on the built operational concept architecture model, the capability requirement analysis indicator system is established, and the effectiveness of the method is analyzed. [ABSTRACT FROM AUTHOR]

Food security is a vital material foundation for a nation's development and has been a topic of significant concern on the international stage in recent years. With a population exceeding 1.4 billion, China is not only a major producer but also a substantial consumer of food. Ensuring food security in China is not only a top priority for its socio-economic development but also a driving force in maintaining the stability of the global food supply chain and reducing the number of hungry people worldwide. However, a lack of comprehensive research into the Chinese food security system remains. This study addresses this gap by constructing a comprehensive evaluation framework encompassing four dimensions: food supply, accessibility, production stability, and sustainability. Utilizing the Moran's Index and generating LISA (Local Indicators of Spatial Association) maps, we analyze the spatial correlations of food security. The Dagum Gini coefficient and kernel density estimation are applied to assess heterogeneity and spatial disparities. Furthermore, this research employs the Exponential Smoothing (ETS) model to forecast food security trends. The findings reveal that the overall composite food security score exhibited fluctuations, initially increasing and reaching its peak of 0.407 in 2003, followed by a subsequent sharp decline after 2019. Spatially, food security exhibits correlations, with the Huang-Huai-Hai Plain and Northeast regions consistently showing high-high clustering. In contrast, the Western and Southern regions exhibit low-low clustering at specific periods. The Dagum Gini coefficient indicates that overall food security disparities are relatively small. However, these disparities have gradually expanded in recent years, with inter-group differences becoming predominant after 2005. As indicated by the kernel density estimation, the dynamic distribution of food security initially widens and then narrows, suggesting a shift from dispersed to concentrated data distribution. This phenomenon is accompanied by polarization and convergence trends, particularly evident after 2015. According to the ETS model, the study forecasts a substantial risk of declining food security in China over the next decade, largely influenced by the ongoing pandemic. In conclusion, this research provides a comprehensive assessment of the changing status of food security in China. It offers early warnings through predictive analysis, addressing the existing research gaps in the field of food security. [ABSTRACT FROM AUTHOR]

With the development of the economy and the improvement of living standards, people's needs have gradually changed, and sports has received increasing attention. At the same time, due to the significant efforts of all countries in sports, sports governance has also attracted considerable attention from scholars. However, the evaluation of global sports governance has rarely been discussed. This paper analyzes the principles for selecting indicators of global sports governance and develops a global sports governance evaluation indicator system consisting of 3 first-level indicators, 6 s-level indicators, and 14 third-level indicators. Additionally, this paper conducted an empirical study of the indicator system using the deep trust network model, and the results showed that the research on the evaluation index system of global sports governance based on the deep trust network model is feasible. Compared with the actual scores, the evaluation gaps for sports facility satisfaction, sports information satisfaction, and sports activity satisfaction were only 0.05, 0.09, and 0.05, respectively. Overall, this method is more accurate in analyzing the evaluation index system of global sports governance and can more directly and objectively reflect the shortcomings of current global sports governance, providing specific analysis of particular problems. The paper suggests that current global sports governance should focus on the coverage of sports facilities, attention to mass sports, satisfaction of sports activities, and promote in-depth development through both hard and soft governance measures. [ABSTRACT FROM AUTHOR]

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Ecological vulnerability assessment is crucial for environment protection, ecological restoration and resource utilization. However, many former studies have limitations in the indicator system of the assessment, which were not comparable for different types of ecologically vulnerable areas. It is difficult to apply directly to the ecological vulnerability assessment of different types and in various regions. Aiming to solve these problems, the study proposed a well-established and comprehensive indicator system for ecological vulnerability assessment and conducted ecological vulnerability assessment application of five types of typical ecologically vulnerable areas of China based on remote sensing, meteorological, geographic and other data. The results show that the average EVIs value of Zhangbei County ranging from 0.525 to 0.559 are the highest among the five research areas during the four periods, followed by Zoige region and Xiamen bay. However, the region with the lowest average EVI value varies. In 2005 and 2015, it was Taihe County, while in 2010 and 2020, it was the Sanjiangyuan region. The variation of average EVIs in the five typical areas presents slight fluctuation and remains generally stable from 2005 to 2020. It indicates that the environmental protection measures and projects undertaken by the Chinese government in recent years have had a striking effect, curbing the trend of ecological environment deterioration.

As a crucial component of transportation networks, major railroad projects inevitably lead to ecological damage during the construction phase. Therefore, early warning systems for ecological health are essential for promoting effective ecological governance. This study proposes an ecological health evaluation index based on the PSR (Pressure-State-Response) model. Furthermore, the study establishes a status warning model for projects using system dynamics theory with a focus on ecology, environment, and resources; and conducts simulation modeling to assess ecological health along the railway lines. The study identified that the water supply increased from 0 to 269.376 million cubic meters, and new soil and water runoff increased from 0 to 992.912 tons from 2015 to 2018. In contrast, construction wastewater and domestic wastewater remained stable at 0.63 tons and 0.32 tons, respectively, throughout the construction period. Ecological restoration improved accordingly and gradually stabilized in the following years. The empirical findings from the railway project indicate that: (1) Expansion of construction land imposes a burden on the region’s natural ecology and with the implementation of ecological protection helping to reduce the extent of ecological damage; (2) Major railroad projects have led to pollution of the regional water environment, necessitating alignment with local policies for comprehensive environmental management throughout the construction process; (3) Economic development drives increased energy consumption and water resource pressures in the construction region, highlighting the importance of resource efficiency for sustainable development. The early warning evaluation model proposed in this study enhances prediction and evaluation tools for the ecological governance of major railways, thereby offering specific preventive and governance measures for ecological and sustainable construction of major transportation projects.

Abstract Background The safety of medication use among older adults is a growing concern, given the aging population. Despite widespread attention, the exploration of medication literacy in older adults, particularly from the perspective of information literacy, is in its nascent stages. Methods This study utilized the existing literature to define medication information literacy (MIL) as a theoretical framework. A two‐round Delphi survey was conducted to identify the essential components of a MIL indicator system for older adults. The analytic hierarchy process (AHP) was then used to assign weights to each indicator. Results The study observed relatively high response rates in both rounds of the questionnaire, which, along with expert authority coefficients (Cr) of 0.86 and 0.89, underscores the credibility and expertise of the panellists. Additionally, Kendall's coefficient of concordance (Kendall's W) ranging from 0.157 to 0.33 (p

Resilience has become an important guiding ideology of modern urban governance. Using the panel data of 31 provinces, autonomous regions and municipalities in mainland China from 2016 to 2021, from the six dimensions of society, economy, institution, infrastructure, environment and community, the primary selection, optimization and screening of evaluation indicators are carried out. Embodying development tendency over time, the evaluation indicator system including 30 indicators is finally established. And empirical research is finished. Through resilience analysis, the resilience change characteristics of each province under temporal and spatial differences are compared, and the response mechanism and scope of influence factors for resilience are analyzed. The results show that there are obvious temporal and spatial differences in resilience among provinces. On the whole, Beijing Shi has the greatest resilience and Guizhou has the smallest resilience. Maintaining and enhancing resilience is an important issue for Beijing Shi, and Guizhou is under the greatest pressure to enhance resilience. Solid waste disposal, harmless disposal of domestic waste, and comprehensive population coverage of TV programs are the top three determinants of resilience. The maintenance and improvement of provincial resilience first need to consider environmental and social dimensions.