Scheme Based on Multi-Level Patch Attention and Lesion Localization for Diabetic Retinopathy Grading

Early screening of diabetes retinopathy(DR)plays an important role in preventing irreversible blindness.Existing research has failed to fully explore effective DR lesion information in fundus maps.Besides,traditional attention schemes have not considered the impact of lesion type differences on grading,resulting in unreasonable extraction of important lesion features.Therefore,this paper proposes a DR diagnosis scheme that integrates a multi-level patch attention generator(MPAG)and a lesion localization module(LLM).Firstly,MPAGis used to predict patches of different sizes and generate a weighted attention map based on the prediction score and the types of lesions contained in the patches,fully considering the impact of lesion type differences on grading,solving the problem that the attention maps of lesions cannot be further refined and then adapted to the final DR diagnosis task.Secondly,the LLM generates a global attention map based on localization.Finally,the weighted attention map and global attention map are weighted with the fundus map to fully explore effective DR lesion information and increase the attention of the classification network to lesion details.This paper demonstrates the effectiveness of the proposed method through extensive experiments on the public DDR dataset,obtaining an accuracy of 0.8064.

Nursing leadership: Key element of professional development

Trends in recent years have emphasized the importance of nursing leadership in China and globally.In 2020,theWorld Health Organization released State of the world’s nursing 2020:investing in education,jobs and leadership[1],specifically proposing that nursing leadership should be strengthened to enable nurses to become current and future leaders in healthcare.This report is based on the development of healthcare across the world under a comprehensive view of the overall level of human health.As the nursing profession evolves and expands,nurses play an increas-ingly essential role in promoting global human health.Nursing leadership is crucial for professional development.

Deep neural network based on multi-level wavelet and attention for structured illumination microscopy

Structured illumination microscopy(SIM)is a popular and powerful super-resolution(SR)technique in biomedical research.However,the conventional reconstruction algorithm for SIM heavily relies on the accurate prior knowledge of illumination patterns and signal-to-noise ratio(SNR)of raw images.To obtain high-quality SR images,several raw images need to be captured under high fluorescence level,which further restricts SIM’s temporal resolution and its applications.Deep learning(DL)is a data-driven technology that has been used to expand the limits of optical microscopy.In this study,we propose a deep neural network based on multi-level wavelet and attention mechanism(MWAM)for SIM.Our results show that the MWAM network can extract high-frequency information contained in SIM raw images and accurately integrate it into the output image,resulting in superior SR images compared to those generated using wide-field images as input data.We also demonstrate that the number of SIM raw images can be reduced to three,with one image in each illumination orientation,to achieve the optimal tradeoff between temporal and spatial resolution.Furthermore,our MWAM network exhibits superior reconstruction ability on low-SNR images compared to conventional SIM algorithms.We have also analyzed the adaptability of this network on other biological samples and successfully applied the pretrained model to other SIM systems.

Closing the Gap: Boosting Women’s Representation in Cybersecurity Leadership

The research consistently highlights the gender disparity in cybersecurity leadership roles, necessitating targeted interventions. Biased recruitment practices, limited STEM education opportunities for girls, and workplace culture contribute to this gap. Proposed solutions include addressing biased recruitment through gender-neutral language and blind processes, promoting STEM education for girls to increase qualified female candidates, and fostering inclusive workplace cultures with mentorship and sponsorship programs. Gender parity is crucial for the industry’s success, as embracing diversity enables the cybersecurity sector to leverage various perspectives, drive innovation, and effectively combat cyber threats. Achieving this balance is not just about fairness but also a strategic imperative. By embracing concerted efforts towards gender parity, we can create a more resilient and impactful cybersecurity landscape, benefiting industry and society.

Leadership and Top Management Influence on Total Quality Management Implementation in the Ghanaian Construction Industry

This study aims to determine the key and underlying Leadership and Top Management (LTM) factors that have a significant impact on sustaining the implementation of Total Quality Management (TQM) within the construction industry in Ghana. The research methodology employed in this study was a quantitative technique. Questionnaires were distributed to 641 participants within construction industry in Ghana. Questionnaires retrieved for the analysis were 536. Three steps approached were used for the data analysis. These include Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), and Structural Equation Modeling (SEM) analysis. After conducting the EFA and CFA, SEM was also used to analyze the construct validity. The SEM analysis helps to determine four key indicator variables for the leadership and top management construct. These include Leadership/Top Management approach to employees’ management, Leadership/Top Management understanding of TQM, Leadership/Top Management empowerment of employees to resolve quality issues, and Leadership/Top Management endorsement of TQM. All the four indicator variables were found to be good of fit and closely associated with the dependent variable. The study adds to the body of knowledge by using EFA, CFA and SEM techniques to establish key leadership and top management factors affecting TQM implementation in Ghana’s construction industry. The findings in general suggested that leadership and top Management factors identified have a direct positive impact on sustaining TQM implementation in the Ghanaian construction industry. Consequently, the leadership and top management factors identified in this study can help improve TQM in the Ghanaian construction industry.

The Impact of Transformational Leadership on Commitment to Change Among Jordanian Government Accountant Toward IPSAS Implementation

IPSAS was accepted by Jordan’s government in accordance with worldwide trends.The Jordanian Ministry of Finance launched cash-basis IPSAS in 2015 and planned to implement accrual accounting by January 1,2021.However,the commitment to change remains uneven,hindering the full shift.Moving from old accounting processes to new ones is tough.Even then,it hasn’t been implemented,creating a gap due to the difficulty in committing to new accounting standards throughout implementation due to obstacles.Thus,knowing government accountants’issues is essential to applying IPSAS in government accounting.This study examines how transformational leadership affects government accountants’commitment to IPSAS adoption in Jordan’s public sector.This study used a quantitative approach to survey Jordanian Ministry of Finance accountants.The 384-person study had a 78%response rate.Additionally,PLS-SEM was used to confirm variable relationships.Transformational leadership positively predicted IPSAS implementation,according to the study.

A Research Conception on Indigenous Chinese Leadership:Based on Comparative Case Studies on Political Elites in Ancient China

Due to the complexity of leadership and its variability across situations,it is suggested that research on leadership should focus on attempts to understand leadership in specific situations or roles,and develop local knowledge about leadership in each situation or role.This paper validates the possibility and importance of building indigenous leadership theories from historical perspective.We demonstrated how to carry out research on indigenous Chinese leadership from a historical perspective by comparative case studies using historical data.Based on the principles of typicalness,representativeness,and comparativeness,we selected six counterparts of political elites in ancient China as comparative cases,which includes Guan Zhong&Shang Yang(organizational reformer),Liu Bang&Xiang Yu(entrepreneur),Li Shimin&Qin Shihuang(intergenerational transition successor),Zhuge Liang&Zeng Guofan(professional manager),Lu Su&Zhang Juzheng(mess-to-order maker),and Zuo Zongtang&Wang Anshi(national dream driver).The paper aims to develop indigenous leadership theory specific to Chinese mental states and culture.

Leadership Virtues, Professional Self-Esteem, and Teaching Management of Chinese University Professors: Basis for Professional Development Plan

This study used a descriptive-quantitative research method as it describes the profile of Chinese university professors in terms of age,gender,and educational background.It also described the leadership virtues in terms of prudence,fortitude,temperance,and justice;professional self-esteem in terms of career choice and adaptability,career satisfaction and values,career impact and fulfillment,and career competence and evaluation;and teaching management in terms of teaching management and evaluation,the area of teaching and research activities,and the area of collective lesson planning activities.Diversity leadership training and instructional management training are provided to meet the needs of different groups of faculty and staff of different gender,age,and education levels.Individualized professional development plans are based on the personal characteristics and needs of professors,particularly in the areas of leadership,teaching management,and career satisfaction.To address the relationship among leadership virtues,professional self-esteem,and teaching management,long-term,in-depth research is encouraged to better understand the dynamics between them.Based on the results,this paper recommends the implementation of the proposed professional development plan.

Artificial Intelligence Based on Resilient Leadership in the Health Sector-A Secondary Publication

At present,it is impossible to deny the existence of artificial intelligence in various areas of social life,understood as the simulation of expert human intelligence from computer processes that involve learning,reasoning,and self-correction,its benefits to the medical field,in particular,are innumerable,but their incorporation into health systems has been gradual for many reasons.According to the above,this research analyzed artificial intelligence based on resilient leadership in the health sector,for which qualitative research was carried out with a documentary-bibliographic design with printed and electronic documentary sources with theoretical contributions fromÁvila,Mayer,and Quesada[1],Morgan[2],Villa[3],and Finol[4],among others.It is highlighted that resilient leadership has become a strategic factor in all organizations,since times of uncertainty and changes lead institutions to properly manage the incorporation of technologies specifically AI,achieving in this way that the centers and professionals in the field of health assume the needs of the contexts and the innovations of the same.It is concluded that resilient leadership will allow artificial intelligence in the health sector to generate higher levels of learning and adaptability to the transformations that are necessary,whose resistance would make its application difficult and in the long run it will leave behind professionals who refuse to assume the contributions of these innovative techniques in medical practice.

Analysis of Information Leadership and Digital Campus Management Strategy

In the information age,the development of schools needs to be integrated with information education,and the principal,as the leader of the school,has a positive significance for the development of the school.Therefore,in the process of school informatization development,principals should continuously improve their informatization leadership,and take digitalization as the guide to build schools,accelerate the construction and improvement of campus management,and then promote the school to continuously optimize the overall management and business processes under the immersion of digital culture.Based on this,this paper is based on information leadership and digital campus,and explores the way to improve the information leadership of principals based on the construction of digital campus.

Impact of Artificial Intelligence on Corporate Leadership

Artificial Intelligence (AI) is transforming organizational dynamics, and revolutionizing corporate leadership practices. This research paper delves into the question of how AI influences corporate leadership, examining both its advantages and disadvantages. Positive impacts of AI are evident in communication, feedback systems, tracking mechanisms, and decision-making processes within organizations. AI-powered communication tools, as exemplified by Slack, facilitate seamless collaboration, transcending geographical barriers. Feedback systems, like Adobe’s Performance Management System, employ AI algorithms to provide personalized development opportunities, enhancing employee growth. AI-based tracking systems optimize resource allocation, as exemplified by studies like “AI-Based Tracking Systems: Enhancing Efficiency and Accountability.” Additionally, AI-powered decision support, demonstrated during the COVID-19 pandemic, showcases the capability to navigate complex challenges and maintain resilience. However, AI adoption poses challenges in human resources, potentially leading to job displacement and necessitating upskilling efforts. Managing AI errors becomes crucial, as illustrated by instances like Amazon’s biased recruiting tool. Data privacy concerns also arise, emphasizing the need for robust security measures. The proposed solution suggests leveraging Local Machine Learning Models (LLMs) to address data privacy issues. Approaches such as federated learning, on-device learning, differential privacy, and homomorphic encryption offer promising strategies. By exploring the evolving dynamics of AI and leadership, this research advocates for responsible AI adoption and proposes LLMs as a potential solution, fostering a balanced integration of AI benefits while mitigating associated risks in corporate settings.

Leadership:A Discursive Communication Approach

One of the main challenges facing many governmental and non-governmental agencies in many parts of the world is to provide transformative leadership from a discursive communication approach to address the political,economic,and social challenges to development.From the onset,I must say that leadership is a term that has received different and varying definitions in today’s literature from both leadership psychology and lately discursive leadership approach-meaning that there is no one definition that is considered classical.This article is an attempt illustrating how the discursive approach operates.Indeed,the role of communication in the leadership process can be looked at in different ways.The purpose of this article is to address the role of discursive communication in leadership and the challenges associated with leadership that does not apply discursive communication approaches,and how these challenges are managed to bring about development.

Construction of a Multi-Level Strategic System for Cultivating Cultural Industry Management Talents in Colleges and Universities

Through SWOT(strengths,weaknesses,opportunities,and threats)and PEST(political,economic,social,and technological)analysis,this study discusses the construction of a multi-level strategic system for the cultivation of cultural industry management talents in colleges and universities.First of all,based on SWOT analysis,it is found that colleges and universities have rich educational resources and policy support,but they face challenges such as insufficient practical teaching and intensified international competition.External opportunities come from the rapid development of the cultivation of cultural industry management talents and policy promotion,while threats come from global market competition and talent flow.Secondly,PEST analysis reveals the key factors in the macro-environment:at the political level,the state vigorously supports the cultivation of cultural industry management talents;at the economic level,the market demand for cultural industries is strong;at the social level,the public cultural consumption is upgraded;at the technological level,digital transformation promotes industry innovation.On this basis,this paper puts forward a multi-level strategic system covering theoretical education,practical skill improvement,interdisciplinary integration,and international vision training.The system aims to solve the problems existing in talent training in colleges and universities and cultivate high-quality cultural industry management talents with theoretical knowledge,practical skills,and global vision,so as to adapt to the increasingly complex and diversified cultural industry management talents market demand and promote the long-term development of the industry.

Development of an Information-Based Leadership Evaluation Index System for School Management Teams:A Comprehensive Approach

In the context of educational informatization reform,there are many uncertain factors in the process of education development.To optimize the educational environment so that it can be effectively combined with information technology,teachers need to change their teaching ideas,strengthen the school’s own adaptability to informatization,and promote the development of informatization construction in schools.As a branch of information leadership,the management team should establish an evaluation index system for information leadership in order to ensure the construction of school informatization,so as to provide a boost for the integration of school resources and information technology.Based on the overview and connotation of information-based leadership of the management team,this paper explores the construction of an evaluation index system of information-based leadership of the school management team,aiming to provide references for the research of relevant personnel in the future.

Multi-level access control model for tree-like hierarchical organizations

An access control model is proposed based on the famous Bell-LaPadula （BLP） model.In the proposed model,hierarchical relationships among departments are built,a new concept named post is proposed,and assigning security tags to subjects and objects is greatly simplified.The interoperation among different departments is implemented through assigning multiple security tags to one post, and the more departments are closed on the organization tree,the more secret objects can be exchanged by the staff of the departments.The access control matrices of the department,post and staff are defined.By using the three access control matrices,a multi granularity and flexible discretionary access control policy is implemented.The outstanding merit of the BLP model is inherited,and the new model can guarantee that all the information flow is under control.Finally,our study shows that compared to the BLP model,the proposed model is more flexible.

Optimizing the Leadership Styles and Establishing a New Teacher-Student Relationship

There're mainly two kinds of behaviors-Task Behaviors(TBs) and Relationship Behaviors(RBs) among the school leadership styles. TBs contribute to achieving the goals, while RBs help to promote the interpersonal relationships. However, different perceptions of social values and morals will have a great influence on establishing the good leader-teacher relationship and the teacher-student relationship, which is also no exception for the leadership styles. Thus, optimizing the leadership styles will enhance the leader-teacher relationship, and also benefit the teacher-student relationship.

A Cross-Cultural Study on Transformational Leadership

This paper examines transformational leadership theory and the relationship between transformational leadership and group performance as well. Transformational leadership asks leaders to understand the needs of followers and motivate followers for their overall development, which brings benefits to a group. It is hoped that this paper can contribute to comparative studies on Transformational leadership in the U.S. and China.

An Exploration of Distributed Leadership in Constructivist Teaching

Building effective leadership in a constructivist classroom requires emotional intelligence capabilities,namely,vision,flexibility,motivation and empathy.Distributed leadership,constituted by relating,visioning,inventing,sense-making,plays an important role in the different phases of constructivist teaching.Combination of distributed leadership and constructivist teaching is of considerable value to a constructivist teacher.

澳大利亚中小学教师培训研究——以新南威尔士州“EAL/D Leadership Program 2014”为例

以新南威尔士州"EAL/D Leadership Program 2014"为例,通过记录其培训的过程和目标,突显澳大利亚中小学教师培训中"以项目带动培训,将培训与实践相结合"、"培训内容来源于教学,实用主义导向明显"、"培训形式丰富,强调团体意识和合作精神"、以及"收集项目评价反馈,注重培训成果检验"等培训特点,这对当下我国中小学教师培训具有重要的借鉴意义。

Shape retrieval using multi-level included angle functions-based Fourier descriptor

An effective shape signature namely multi-level included angle functions MIAFs is proposed to describe the hierarchy information ranging from global information to local variations of shape.Invariance to rotation translation and scaling are the intrinsic properties of the MIAFs.For each contour point the multi-level included angles are obtained based on the paired line segments derived from unequal-arc-length partitions of contour.And a Fourier descriptor derived from multi-level included angle functions MIAFD is presented for efficient shape retrieval.The proposed descriptor is evaluated with the standard performance evaluation method on three shape image databases the MPEG-7 database the Kimia-99 database and the Swedish leaf database. The experimental results of shape retrieval indicate that the MIAFD outperforms the existing Fourier descriptors and has low computational complexity.And the comparison of the MIAFD with other shape description methods also shows that the proposed descriptor has the highest precision at the same recall value which verifies its effectiveness.