From Control to Empowerment:A Paradigm Shift in the Discourse of Educational Supervision

As educational reforms intensify and societal emphasis shifts towards empowerment,the traditional discourse paradigm of management and control in educational supervision faces growing challenges.This paper explores the transformation of this discourse paradigm through the lens of empowerment,analyzing its distinct characteristics,potential pathways,and effective strategies.This paper begins by reviewing the concept of empowerment and examining the current research landscape surrounding the discourse paradigm in educational supervision.Subsequently,we conduct a comparative analysis of the“control”and“empowerment”paradigms,highlighting their essential differences.This analysis illuminates the key characteristics of an empowerment-oriented approach to educational supervision,particularly its emphasis on dialogue,collaboration,participation,and,crucially,empowerment itself.Ultimately,this research advocates for a shift in educational supervision towards an empowerment-oriented discourse system.This entails a multi-pronged approach:transforming ingrained beliefs,embracing renewed pedagogical concepts,fostering methodological innovation,and optimizing existing mechanisms and strategies within educational supervision.These changes are proposed to facilitate the more effective alignment of educational supervision with the pursuit of high-quality education.

Research on the intelligent supervision and operation platform of railway real estate

Railway real estate is the fundamental element of railway transportation production and operation.Effective management and rational utilization of railway real estate is essential for railway asset operation.Based on the investigation of the requirements of railway real estate management and operation,combined with Beidou positioning,GIS(Geographic Information System),multi-source data fusion and other cutting-edge technologies,this paper puts forward the multi-dimensional dynamic statistical method of real estate information,the identification method of railway land occupation and the comprehensive evaluation method of real estate development and utilization potential,and build the railway real estate supervision and operation platform,design the function of the platform,so as to provide intelligent solutions for the railway real estate operation.

Routine Supportive Supervision and Management of Medicines and Other Health Products and Technologies in Vihiga County, Kenya

Health Products and Technologies (HPTs) are pivotal for an efficient health system. Availability and accessibility to affordable health products are critical indicators towards achieving universal health coverage. Routine supportive supervision, performance monitoring, recognition of efforts and client feedback are vital activities toward health supply chain system strengthening. This is a descriptive paper that describes a model of integrated commodity supportive supervision, and mentorship and its impact on various outcomes of health commodity management. Data were abstracted from the standardized scored checklists used during integrated commodity supportive supervision and supply chain audit in public health facilities in Vihiga County. Scores for the period 2020 to 2022 were analyzed on the eight key areas of interest. The analysis was done using Statistical Package for Social Sciences (SPSS version 26). Results are interpreted at 95% Confidence interval. This paper also shares findings from both quantitative and qualitative data from client exit and facility managers’ interviews. Six complete rounds of supervisions, three clients and service providers’ interviews, and three annual award events have been conducted. We observed trends across six data collections points and compared the results at first point or baseline (January-June 2020) to the results at the last point or end line (April-June 2022). Findings show significant improvements on the eight parameters in terms of mean scores as follows: resolution of issues from previous visits by 35.06% (46.75% - 81.81%);storage of HPTs by 17.41% (68.72% - 86.13%);inventory management by 28.16% (42.67% - 70.83%);availability and use of commodity data management information systems (MIS) tools by 22.39% (74.40% - 96.79%);verification of commodity data by 25.61% (65.56% - 91.17%);availability of guidelines and job aids for commodity management by 46.28% (36.65% - 82.93%). There was an improvement on the mean score on accountability by 20.22% (58.58% - 83.51%). The composite (final) score improved by 28.33% (56.19% - 84.52%). There was progressive narrowing of the standard deviations on all the indicators across the study period. This demonstrates that there is standardization of practices and positive competition among all the public health facilities. There were significant improvements on all the eight indicators. Routine integrated commodity supportive supervision has proven to be an effective high impact intervention in improving management of health products and technologies in Vihiga County, Kenya.

Strategic interaction between institutional investors and supervision department:a theoretical analysis of low‑price collusion in SBIC

We introduce evolutionary game method to analyze low-price collusion in inquiry market of Sci-Tech Innovation Board of China(SIBC)from the perspective of strategic interaction between large institutional investors(LIIs),small and medium-sized institutional investors(SMIIs),and supervision department(SD).The results show that supervision behaviors of SD,and quotation behaviors of institutional investors,are subject to supervision conditions.Under the condition that benefits of tough supervision are lower a lot than minimum benefits of light supervision(light supervision condition),SD will choose light supervision and institutional investors will turn to illegal quotation in response.Finally,a steady-state equilibrium with low-price collusion will form in SIBC’s inquiry market even with a large supervision penalty for illegal quotation.On the contrary,under the condition that benefits of tough supervision are higher a lot than maximum benefits of light supervision(tough supervision condition)and with a large penalty for illegal quotation,SD and institutional investors will choose tough supervision and legal quotation.Further numerical simulations under light supervision condition show that:(1)High-price culling rule will become a booster for low-price collusion and accelerate SMIIs’evolutionary process to imitative quotation.(2)Blindly increasing penalties for illegal quotation or reducing the culling rate is not an appropriate approach to solve the problem of low-price collusion since it cannot shift supervision condition from light into tough and make SD supervise toughly.(3)Institutional investors’choices of quotation strategies are more volatile and highly susceptible to supervision behaviors of SD when facing exogenous uncertainty.Therefore,the keys to solving the problem of low-price collusion are shifting supervision condition from light into tough through increasing incremental benefits of tough supervision,and providing institutional investors with a stable and predictable supervision policy.In conclusion,the creation of a fair inquiry market doesn’t only depend on restraint and punishment to institutional investors,but also requires the establishment of supervision mechanism those are compatible with market-based inquiry.

On the Expansion and Realization of the Right to Environmental Information in Environmental Protection Supervision

As an innovation in the environmental governance system that breaks the traditional hierarchical structure,environmental protection supervision has not only played a significant role in protecting tangible environmental rights but also expanded the basic scope of the right to environmental information—part of procedural environmental rights.In the supervision of environmental protection,the objects of the right to environmental information and the subjects of the obligation to provide environmental information have been both expanded,with the focus shifting from government information to Party information and from administrative organs to Party organs.This vividly demonstrates the Communist Party of China’s concrete efforts to protect human rights in the field of the endeavor to build an ecological civilization.At present,the realization of the right to environmental information in environmental protection supervision still faces problems such as insufficient standards and norms,disordered practice and operation,and lack of liability guarantee.In this context,based on renewing relevant subjects’cognition of the right to know in environmental protection supervision,we should further improve and specify the rule for disclosing information about environmental protection supervision,rationally distribute the obligations for information disclosure in environmental protection supervision,and clarify the accountability rules for violating relevant requirements for information disclosure,so as to promote the overall development of the environmental protection supervision system while guaranteeing the realization of the right to environmental information.

Supervision of Public Opinion under the Background of Social Co-governance-Take the Changsheng Vaccine Incident as an Example

Objective To provide reference for the news media to give play to the role of public opinion supervision in time based on the background of drug safety and social co-governance.Methods The method of case analysis was used to make a retrospective study on the Changsheng vaccine incident in 2018.Then the role of mainstream media,pharmaceutical media,and self-media in the supervision of public opinion was investigated.Results and Conclusion Both mainstream and pharmaceutical media played an excellent role in supervising the Changchun Changsheng vaccine incident.However,the content published by some pharmaceutical media was hard to understand by ordinary people.Besides,the role of self-media in public opinion supervision was polarized.Some self-media closely kept pace with mainstream media in public opinion supervision.Other self-media unilaterally pursued the click rate,publishing false information to guide wrong public opinion.The news media should optimize the supervision efficiency of drug safety.On the one hand,pharmaceutical media should pay attention to the fact that readers may not understand the difficult terms because they are not professional.On the other hand,self-media practitioners should improve their professional quality so that they will not publish some fake news to mislead public opinion.

Transfer Learning Approach to Classify the X-Ray Image that Corresponds to Corona Disease Using ResNet50 Pre-Trained by ChexNet

The COVID-19 pandemic has had a widespread negative impact globally. It shares symptoms with other respiratory illnesses such as pneumonia and influenza, making rapid and accurate diagnosis essential to treat individuals and halt further transmission. X-ray imaging of the lungs is one of the most reliable diagnostic tools. Utilizing deep learning, we can train models to recognize the signs of infection, thus aiding in the identification of COVID-19 cases. For our project, we developed a deep learning model utilizing the ResNet50 architecture, pre-trained with ImageNet and CheXNet datasets. We tackled the challenge of an imbalanced dataset, the CoronaHack Chest X-Ray dataset provided by Kaggle, through both binary and multi-class classification approaches. Additionally, we evaluated the performance impact of using Focal loss versus Cross-entropy loss in our model.

Comparison of Two Recurrent Neural Networks for Rainfall-Runoff Modeling in the Zou River Basin at Atchérigbé (Bénin)

Hydrological models are developed to simulate river flows over a watershed for many practical applications in the field of water resource management. The present paper compares the performance of two recurrent neural networks for rainfall-runoff modeling in the Zou River basin at Atchérigbé outlet. To this end, we used daily precipitation data over the period 1988-2010 as input of the models, such as the Long Short-Term Memory (LSTM) and Recurrent Gate Networks (GRU) to simulate river discharge in the study area. The investigated models give good results in calibration (R2 = 0.888, NSE = 0.886, and RMSE = 0.42 for LSTM;R2 = 0.9, NSE = 0.9 and RMSE = 0.397 for GRU) and in validation (R2 = 0.865, NSE = 0.851, and RMSE = 0.329 for LSTM;R2 = 0.9, NSE = 0.865 and RMSE = 0.301 for GRU). This good performance of LSTM and GRU models confirms the importance of models based on machine learning in modeling hydrological phenomena for better decision-making.

Study on Independent Supervision Function of Design Assurance System

The effective operation of a design assurance system cannot be achieved without the effective performance of the independent supervision function.As one of the core functions of the design assurance system,the purpose of the independent supervision function is to ensure that the system operates within the scope of procedures and manuals.At present,the function of independent supervision is a difficult and confusing issue for various original equipment manufacturers as well as suppliers,and there is an urgent requirement to put forward relevant requirements and form relevant methods.Based on the above mentioned objective,the basic requirements of the independent supervision function of design assurance system were studied,the problems and deficiencies in the organization,staffing,and methods existing in the current independent supervision function were analyzed,the improvement suggestions and measures for the performance of the independent supervision function from the aspects of the organization,staffing,procedures,and suppliers were put forward.The present work and conclusions provide guidance and direction for the effective operation of the design assurance system.

Training and Implementation of Subjective Questions Scoring System Based on the Baidu Qianfan Model Platform

Leveraging the Baidu Qianfan model platform,this paper designs and implements a highly efficient and accurate scoring system for subjective questions,focusing primarily on questions in the field of computer network technology.The system enhances the foundational model by utilizing Qianfan’s training tools and integrating advanced techniques,such as supervised fine-tuning.In the data preparation phase,a comprehensive collection of subjective data related to computer network technology is gathered,cleaned,and labeled.During model training and evaluation,optimal hyperparameters and tuning strategies are applied,resulting in a model capable of scoring with high accuracy.Evaluation results demonstrate that the proposed model performs well across multiple dimensions-content,expression,and development scores-yielding results comparable to those of manual scoring.

Decentralized Semi-Supervised Learning for Stochastic Configuration Networks Based on the Mean Teacher Method

The aim of this paper is to broaden the application of Stochastic Configuration Network (SCN) in the semi-supervised domain by utilizing common unlabeled data in daily life. It can enhance the classification accuracy of decentralized SCN algorithms while effectively protecting user privacy. To this end, we propose a decentralized semi-supervised learning algorithm for SCN, called DMT-SCN, which introduces teacher and student models by combining the idea of consistency regularization to improve the response speed of model iterations. In order to reduce the possible negative impact of unsupervised data on the model, we purposely change the way of adding noise to the unlabeled data. Simulation results show that the algorithm can effectively utilize unlabeled data to improve the classification accuracy of SCN training and is robust under different ground simulation environments.

Key Points in the Supervision of Road Landscaping Project——A Case Study of the South 3^(rd) Ring Road in Yanta District of Xi'an City,China

Characteristics of road landscaping were analyzed,as a kind of "linear" landscaping,it could be classified into urban street landscaping,urban ring road and expressway landscaping.Differences between road landscaping projects and other garden landscaping projects or construction projects were analyzed.Landscaping project for the South 3rd Ring Road of Xi'an City(in Yanta District)was taken for an example to summarize construction experience,discuss present conditions and features of garden landscaping supervision in China.The artistic and physiological properties of garden landscaping,as well as the supervision during maintenance period were stressed,but it was also pointed out that garden landscaping supervision in China was actually not given sufficient attention.On this basis,key points in the supervision of road landscaping project were proposed:understanding design ideas,selection of landscape plants,quality control of concealed works,prevention and control of diseases and insects,construction safety management and overall image;only by effectively implementing these key points,a high-quality road landscaping project could be realized to improve the image of a city and beautify its environment.

Research on the Status Quo and Supervision Mechanism of Food Safety in China

Food safety supervision mechanism is a strong guarantee to promote the smooth implementation of China's food safety laws and regulations,and it is implemented through legal,administrative,economic,moral and other integrated policy instruments,as well as media publicity,quality traceability,network tracking,information disclosure and other non-administrative means. Along with strengthening supervision and control means,the people's food safety in China is safeguarded,and the healthy development of the food industry is promoted.

Clinical Supervision of Midwifery Students at the University Teaching Hospital School of Nursing and Midwifery in Lusaka, Zambia

Introduction: Clinical supervision plays a significant role in the acquisition of psychomotor skills by student midwives during training leading to the provision of high quality midwifery care. However, the acquisition of the psychomotor skills required for successful practice and learning can only be acquired if student midwives are supported and guided by clinical supervisors in their learning environments. Main Objective: The main objective of the study was to determine factors influencing clinical supervision of Student Midwives in Lusaka Urban District. Methodology: A cross-sectional study design that employed both quantitative and qualitative methods was used. The study population comprised 124 Nurses and Midwives working in Lusaka urban District. Self-administered questionnaires were used to collect data from the Nurses and midwives and a focus group discussion guide was used to guide discussions with the student midwives at Lusaka College of Nursing and Midwifery and a total of three focus group discussions were conducted. Quantitative data were entered into by Statistical Package Social Sciences (SPSS) version 22 for windows. Chi-square test was used to test associations among variables. The confidence interval was set at 95% with a significance level of 0.05. Qualitative data were analysed using content analysis to classify words into themes and categories by looking for repeated ideas or patterns of thoughts. Results: The findings showed that a high percentage of the clinical supervisors (89.5%) had not been trained in clinical supervision and most respondents had moderate knowledge on clinical supervision of students. Majority of the respondents (63%) exhibited inadequate supervision skills. The attitudes of all the supervisors towards supervision were positive. A large percentage of respondents (73%) were competent in clinical supervision. However the learning environment considered to be poor by most respondents (61%). The study revealed a significant association between clinical supervision and the respondents’ knowledge on clinical supervision (p-value of 0.00). Conclusion: The current study showed that clinical supervision was untrained and had inadequate supervision skills and the learning environment was poor. There is need therefore to train clinical supervisors and improve the students’ learning environment in order to enhance teaching and learning. The study offers a valuable insight into the factors influencing students’ midwives learning in clinical learning environment.

Evaluation Nursing Students’ Views of Improved Competence Development after Clinical Supervision: An Educative Approach to the WHO Patient Safety Model

Bachelor of Science Nursing (BSN) students’ education comprises both theories and practical aspects. Access to resources is required for the development of a professional identity, which includes gaining technical knowledge and receiving feedback, guidance as well as social and emotional support from clinical supervisors. The aim of this study was to evaluate BSN students’ views of professional development after clinical supervision (CS) during their undergraduate education. An additional aim was to illuminate how competence development was related to the WHO Patient Safety Educational Model. A cross-sectional study was conducted, in which CS was measured as part of a survey completed by a sample of nursing students after their clinical placement at two time-points, namely 2012 and 2013. Statistical descriptive and inferential analyses were used and differences in the responses between Time 1 and Time 2 compared. The benefit of CS for nursing students’ competence development revealed a positive significant relationship between students’ Interpersonal skills and the factor Improved care/skills. There were differences in terms of variables related to the Importance value of CS and Professional skills. The results can be used to inform undergraduate nursing education leaders, teachers and practice partners on individual, group and organisational level in order to enhance patient safety and highlight the importance of CS for BSN students’ professional development.

The Impact of Government Supervision and Consumer Purchasing Behavior on Food Safety

This paper aims at the theoretical analysis to the impact of government supervision and consumer purchasing behavior on food quality security, so as to look for safety strategies and measures to strengthen and improve the level of food safety in China. Reputation mechanism is introduced and Bayesian approach is based on, in which government supervision as well as consumer purchasing behavior is taken as crucial factors to impact on the food quality security. As to the proposed quantitative indicators, government supervision includes exposure rate, fine and etc.;at the same time, consumer purchasing behavior includes consumer’s WTP for security food and consumer expectations to food safety. Taking China’s dairy industry as an example, it makes simulation by Netlog. The results show that consumer purchasing behavior alone has little effect on the dairy companies’ decision-making to be honest or counterfeiting enterprises. However, combination government supervision with purchasing behavior has great impact, and plays very good effects on food safety.

Research on Supervision of Country Public Goods Supply Based on Public Choice Theory

To increase the provision of rural public goods is a major task of Chinese new rural construction, while it can not do without the necessary supervision. This paper described the relationship between public choice theory and the provision of rural public goods and it was a basis for in-depth study of the government＇s subject behavior from the perspective of public choice, and led to the necessity of regulation of rural public goods provision in rural areas, then it presented a strengthen monitoring of the rationalization proposals.

Foodborne doping and supervision in sports

Cases of foodborne doping are frequently reported in sports events and can cause severe consequences for athletes.The foodborne doping can be divided into natural endogenous and artifi cially added foods according to the sources,including anabolic agents,stimulants,diuretics,β-blockers,β2 agonists and others.In order to control foodborne doping,chromatographic technique,immunoassay,nuclear magnetic resonance,biosensor technology,pyrolytic spectroscopy,comprehensive analysis and electrochemical analysis have usually used as analytical and inspection strategies.Meanwhile,the legislation of anti-doping,the improvement of testing standard and technology,and the prevention and control of food safety,as well as the improvement of risk perception of athletes are highly necessary for achieving the effective risk control and supervision of foodborne doping,which will be benefi cial for athletes,doctors and administrators to avoid the risks of foodborne doping test and reduce foodborne doping risks for the health of athletes.

Analysis on Supervision of the Internet Finance: A Case Study of Yu Ebao

By taking the hottest topic Internet financial product—Yu Ebao as an example,an in-depth analysis is made on its innovation and comparative advantages in this paper. Based on this,combing and sorting out the current related disputes regarding Yu Ebao supervision,putting forward views with evidence,clear requirement is made upon the attitudes towards supervision over Yu Ebao viewing from commercial banks and supervision aspects.

Clinical supervision for novice millennial nurses in the perinatal setting: The need for generational sensitivity

This paper reports on a qualitative research study that examined the experience of expert and novice nurses participating in a new, reflective program of “clinical supervision”, intending to facilitate the transition of new graduate nurses into the workforce. Three patterns emerged during the constructivist inquiry: readiness to reflect, valuing of clinical supervision, and sustainability of the clinical supervision model. The researchers suggest generational sensitivity as a key perspective to consider when developing engaging workplace strategies for millennial nurses. The article offers recommendations for the implementation of clinical supervision and would be of interest to nurse leaders in a clinical setting.