Reviewerly/exHarmony huggingface dataset:
A lightweight image sensitive information detection model based on yolov5s

Current sensitive information detection methods are prone to problems such as low detection accuracy, long training time, and slow detection speed, resulting in models that are usually not suitable for practical deployment.To solve this problem, a lightweight image sensitive information detection model based on yolov5s is proposed in this paper.First, this paper designs an efficient attention module GPSA module based on PSA module in the feature extraction part, which enables the network model to learn richer multi-scale feature representations and improve the detection accuracy of the model for sensitive information.In the feature fusion part, this paper adopts the BiFPN structure instead of the PAN structure of the original model, so that the feature fusion ability of the model can be improved.After experimental comparison, the results show that the detection accuracy and speed of the proposed method in this paper on the homemade sensitive image dataset are better than the current mainstream methods.The experimental results show that the final mAP of this model on the self-made sensitive image data set can reach 71%, and the detection time of a single image is 2.8ms, which can meet the requirements of network platform deployment in practical application.
An Exploration on the Teaching Practice of "Preliminary Geometry" with NetPad——A Case Study of Class A, Grade 7, Fengtai Middle School, Beijing National Day School

In order to adapt to the development trend of education informatization, academician Zhang Jingzhong of the Chinese Academy of Sciences led his team to develop China's first professional mobileInternet dynamic mathematics software on the basis of Supersketchpad, named NetPad, which is mainly used to serve science teaching.This paper takes the students of Fengtai Middle School of Beijing National Day School as the experimental objects, and uses the research methods such as questionnaire survey and test to collect the main data of the research process.Two classes were randomly selected to participate in the teaching experiment.The research results show that the n NetPad assisted junior middle school mathematics "figures and geometry" teaching can better mobilize students' interest in mathematics, improve junior middle school students' understanding ability of plane geometry, develop their spatial imagination ability, exercise their thinking ability, master good learning methods, improve junior middle school mathematics "figure and geometry" problem solving ability, and achieve better grades and better learning results.
Research on the Evaluation of Financial Aid for Poor Students in Colleges and Universities Based on K-Means Cluster Analysis

At the time when "smart campus" is popular, the warm care of campus is an important element of smart campus, and the big data consumption evaluation model derived from the analysis of big data and data mining can effectively determine the consumption level and family economic status of various students, so as to accurately identify the students in need of help on campus, and provide important data support for the granting of college The article provides an important data support for grant distribution and facilitates warm-hearted assistance to them.The article classifies each student according to his or her consumption amount and gives the top three hundred students with low consumption levels.Considering the existence of values in the data and the existence of helping classmates to bring meals, only those students who have consumption for all three months and whose consumption amount is below 30 yuan each time are analyzed.A K-Means clustering evaluation model was constructed for them to obtain three types of students with different consumption types, while each student was given a positive rating, which was ranked in ascending order to obtain a list of target students.On this basis, the consumption window factor was added, and after eliminating the non-essential consumption types, the consumption window price level was used to classify them, and two types of low consumption windows and high consumption windows were obtained, while scores were assigned to various windows, and positive scores were given to each student window consumption in turn, and the optimized K-Means clustering evaluation model was used to rank them in ascending order to obtain the target student list.
Solution of the Eigenfunction of Mixed Random Variables

The distribution function of mixed random variable can be split into a linear combination of a continuous distribution function and a discrete distribution function.In this paper, the expectation of mixed random variable is analyzed, and then the mathematical expectation of the function of mixed random variable is studied, and finally the general solution formula of the characteristic function of mixed random variable is obtained.The solution of the characteristic functions of the usual discrete and continuous random variables can also be analyzed by the ideas and methods in this paper, and relevant conclusion can also be drawn.
Research on the Effectiveness Evaluation Index System of Strategic Early Warning System for Early Warning Counterattack Operations

Early warning counterattack operation is one of the important combat styles, and the strategic early warning system is an indispensable and critical part of early warning counterattack operations.Based on the analysis of the working process of the strategic early warning system, and based on the principle of index system construction, the effectiveness evaluation index system is proposed, which lays the foundation for the comprehensive evaluation of the effectiveness of the early warning system.
A Study on the Market Response to the Impact of Emergencies on New Energy Vehicle Companies—A Case Study of Tesla

The occurrence of social emergencies often acts on the main body of the company involved.The positive social events of a company can enhance its reputation, while the negative ones will cause damage to its image and other influences.This paper will take Tesla as an example, focus on the social emergencies related to consumer rights protection, and analyze the market reaction brought by using the event study method.The study found that the unexpected consumer rights protection event had a certain negative impact on Tesla.This study provides a relevant reference for China's local new energy vehicle companies to promote the continuous improvement and development of the industry.
Exploring the Construction of a Social Credit System Based on Blockchain Technology and Digital Trust

The degree of information transmission and trust are closely related, and in socio-economic activities, information transmission often faces difficulties such as fragmentation, distortion, inadequacy, and asymmetry.With the development of information technology, social relationships have been reconstructed, and traditional trust mechanisms based on acquaintances and institutional trust can no longer meet the transactional needs of socio-economic activities.Therefore, a new form of digital trust has emerged, with blockchain technology as an important foundation, which can construct more direct, efficient, and reliable trust relationships.The advantages of blockchain technology in information sharing, data authentication, and automated transactions are suitable for solving the difficulties of narrow credit data scope, poor timeliness, difficult aggregation, information silos, and unclear digital property rights in the construction of a social credit system.Based on this, a practical approach to the construction of a social credit system based on digital trust and blockchain technology is proposed.
Research on the Optimization Path of the Management of Financial Support for University and College Students from the Perspective of Financial Security—Reflections on the Illegal Campus Loan

The rapid development of Internet finance has spawned a number of non-compliant campus lending platforms.These illegal institutions or platforms take advantage of the immature consumption concept and lack of discernment of college students under the banner of solving urgent needs, resulting in them falling into tremendous economic pressure, which undoubtedly buries major hidden dangers for their academic development and mental health.Accordingly, the causes and harm of illegal campus loans are analyzed from the perspective of financial security, and the widespread popularity of illegal campus loans has sounded the alarm for college students.Subsequently, the current situation of the management of financial support for university and college students is intensely studied, and the ways to optimize the management are explored, which may provide a new idea for contemporary college students to meet their necessary expenses through financial support for university and college students, such as part-time study, student loans, bursaries.
A study on fine-grained image classification algorithm based on ECA-NET and multi-granularity

The feature of large intra-class variance in fine-grained image classification is a challenge to the classification task.How to effectively learn the discriminant objects in the graph and find out the small discriminant regions is the key to classification.This paper proposes a weak-supervised fine-grained image classification algorithm based on multi-granularity feature fusion.The ECA module is fused with the classic network ResNet-50 to optimize the residual block to obtain a new basic network to enhance channel attention.Secondly, the local chaos module is introduced into the network to form a new image through random chaos regrouping so that the network can learn local regions with different scales of discrimination and obtain fine-grained feature expressions.The cooperative training of dual network branches makes the overall information and local information complement each other and have better expression.Experimental results on three widely used fine-grained image classification datasets verify that the proposed algorithm improves the accuracy of classification tasks and can effectively identify semantic sensitive features in images.
Research on the Routine Mode of Educational Practice for Normal University Students

Educational practice is an important part of teacher education, and it is also an essential content of practical teaching reform for teachers' majors in colleges and universities.In this paper, the normal practice mode of normal students is studied to provide reference for exploring more effective practice mode.First, the centralized fixed-point model.Under the unified management and arrangement of colleges and universities, normal students go to the contacted primary and secondary schools to carry out educational practice.Second, the mixed formation mode, in which normal students from different majors are organized into a team, and one or several teachers lead them to practice in primary and secondary schools.Third, the supporting education mode.The school organizes normal students to go to rural schools or weak schools to carry out educational and teaching practice activities for one semester.Fourth, the post educational practice mode.After completing professional courses and teacher education courses, normal students go to primary and secondary schools to carry out a full semester of teacher post practice training.
Research on the classroom teaching reform method of bridge engineering based on the cultivation of innovation and entrepreneurship ability

Innovation has an important impact on a country and a nation.It is the premise of national development and national revitalization.The course of Bridge Engineering is also the most basic major course in the civil engineering specialty.During the course, there are many teaching contents with strong spatial sense and abstract characteristics.However, in the teaching process of the bridge engineering course, the traditional teaching methods have obvious shortcomings.The reform and practice methods of the existing teaching methods and teaching models in improving students' hands-on ability, innovation ability and team cooperation ability still need to be improved in the four aspects of course teaching content, teaching activities, teaching methods, and course evaluation.This paper analyzes the problems in the teaching of this course and puts forward corresponding suggestions.
A Study on the Reform of English Classroom Teaching and Autonomous Learning Mode in Vocational Colleges

In the current process of the reform and development of English teaching mode in higher vocational colleges, the reform of English classroom in higher vocational colleges and the students' autonomous learning mode show a highly integrated development state.Stimulating students' interest in English learning is the primary task of the current classroom teaching reform, which reflects the progressiveness development of teaching concepts and teaching models, and is of great significance to improving the efficiency of classroom teaching.This requires that when organizing and designing English classroom teaching, teachers should fully grasp students' learning interests, and explore the curriculum model suitable for the current English classroom teaching from the perspective of students' autonomous learning, so as to comprehensively improve students' comprehensive application ability, and provide application-oriented comprehensive talents for the development of the times.
A bibliometric and visual analysis of Chinese and international postgraduate employment in the last decade: developments, hotspots, and trend directions

The continuous expansion of postgraduate education and the structural bias of the job market have brought much attention to the employment of postgraduate students.To better understand the employment gap between Chinese and international postgraduate students and effectively advance future research, this research selects China National Knowledge Infrastructure and Web of Science as data sources to conduct a quantitative scientometric assessment of the literature from 2011 to 2021.According to the survey, Chinese publications mostly focus on the discipline of higher education, whereas overseas journals are more diverse.There is no systematic network of inter-author and interinstitutional cooperation in China and internationally.Research hotspots have some convergence, but with slightly different focuses.There is still a rich field of employment for graduate students in China and overseas that has yet to be explored.In the future, we should enhance the breadth and depth of research and cooperation and strengthen academic innovation and interdisciplinary research.
Research on the Problems and Countermeasures of Ordinary Senior High School Career Planning Education under the Background of the New College Entrance Examination

Under the background of China's college entrance examination reform, high school career planning education is very important.Career planning education in high school is crucial to the development of students' life.Educators guide students to make effective plans and stimulate students' internal drive to make progress.It is an education that is related to the development direction and life-long happiness of students.Its core goal is to guide students to become adults and make contributions to society while realizing self-development.In this context, schools must do a good job in career planning education, so that students can make reasonable choices based on their own actual conditions, based on a full understanding of abilities and specialties, determine the majors they will apply for in the future, clarify their goals, and avoid selective errors.Students can develop better and meet the requirements of scientific talent selection.
Revelation and Reflection on Innovation and Entrepreneurship Education of College Students by the Evaluation System of Innovation and Entrepreneurship Education in Universities

With the rapid development of science, culture and economy, the cultivation of innovative and entrepreneurial talents in universities is an important initiative to implement the spirit of the 20th CPC National Congress.In order to meet the current demand of China's social market for talents in various fields and effectively promote the diversified development of China's talent market, universities have successively added college students' innovation and entrepreneurship education courses and established relevant education systems according to the requirements of relevant documents and policies and achieved certain results; reviewing and summarizing the existing innovation and entrepreneurship education evaluation system in colleges and universities is of great practical significance to improve the relevance, effectiveness and scientific of college students' innovation and entrepreneurship education.It is of great practical significance.
A Picture-Based Approach to Tourism Recommendation System

Due to the subjective nature of the experience, it is challenging to classify travel products according to uniform criteria as physical products, which poses a significant challenge for recommendation techniques.In practical application scenarios, this study introduces an alternative image-based approach as an implicit elicitation of user preferences for travel products to accurately recommend products to travellers with different tastes.We developed a model based on exploratory factor analysis.First, based on exploratory factor analysis, we compared the pictures tapped by users to five types of travel preferences.Then, we use the Euclidean algorithm to project the images and scenic spot features into a five-dimensional space.It calculates the distance, thus quantifying the relationship between the travel and the user's favourite pictures.The final result shows that the model effectively improves the user's travel matching and effectively contributes to the field of travel destination recommendation.
Performance of re-ranking techniques used for recommendation method to the user CF- Model

The recent research work for addressed to the aims at a spectrum of item ranking techniques that would generate recommendations with far more aggregate variability across all users while retaining comparable levels of recommendation accuracy. Individual users and companies are increasingly relying on recommender systems to provide information on individual suggestions. The recommended technologies are becoming increasingly efficient because they are focusing on scalable sorting-based heuristics that make decisions based solely on "local" data (i.e., only on the candidate items of each user) rather than having to keep track of "national" data, such as items have been all user recommended at the time. The real-world rating datasets and various assessments to be the prediction techniques and comprehensive empirical research consistently demonstrate the proposed techniques' diversity gains. Although the suggested approaches have primarily concentrated on improving recommendation accuracy, other critical aspects of recommendation quality, such as recommendation delivery, have often been ignored.
Development of Course and Online Certification Process for Student Application Using React JS

Abstract: This project aims to develop an online course application with certification and apply features using ReactJS for the frontend, NodeJS for the backend, and MySQL for the database. The application will have two main modules, one for the students and one for the admin. The student module will allow them to browse and apply for courses, view their course progress, and download their certificates upon completion. The admin module will enable the administrator to manage courses, approve student applications, view student progress, and generate certificates for completed courses. The project's primary objective is to provide an easy-to-use and efficient platform for students to apply and learn online and for the administrators to manage the system effectively.
Smart Question Paper Generator

The functioning of society, particularly for engineers, is heavily impacted by knowledge.Humanity's progress is based on two main pillars -Information and Knowledge.Educational institutions play a crucial role in creating competent youth, and the teaching and learning process needs to be reinvented to achieve this goal.Assessments in the form of tests and examinations are an essential means of identifying the impact of teaching and learning.Examinations complement the learning process, prepare students in their quest for knowledge, and play a pivotal role in this pursuit.As technology continues to advance, it will inevitably blend with the assessment process, particularly in the design of examination papers and formats.The standardization of test papers has been a persistent concern.Manual approaches to designing test papers cannot cater to the requirement of testing learners on various aspects of learning.An automated approach would make the process of designing test papers more efficient, effective, fast, streamlined, randomized, and secure.The proposed system ensures total randomization of questions, avoiding repetitions, and can be beneficial to many educational institutions
A COMPARATIVE ANALYTICS OF SVM DT NB CLASSIFIER FOR HEART DISEASE PREDICTION IN ML ALGORITHMS

Heart disease prediction is a crucial task in the field of medical diagnosis.Machine learning algorithms can be used to predict heart disease accurately and efficiently.In this research paper, we present a comparative analysis of three popular machine learning classifiers: Support Vector Machines (SVM), Decision Trees (DT), and Naive Bayes (NB), for heart disease prediction.We evaluate the performance of these classifiers using the Cleveland heart disease dataset.The results show that SVM performs better than DT and NB in terms of accuracy and AUC-ROC score.However, DT has a better F1 score than SVM and NB.Our study provides useful insights into the performance of these classifiers for heart disease prediction.
Bayesian Way

In the Stats, STAT! video, "Bayesian Way", originally published April 25, 2023 (DOI: 10.1056/EVIDstat2300090), at the 5:19 mark, the video states "…there is a 95% probability that biking is faster than taking the train…". It should have said, "…there is a greater than 95% probability that biking is faster than taking the train…" A corrected version of the video has been posted at evidence.nejm.org.
APPLICATION AND SIGNIFICANCE OF WEB-BASED LIBRARY SERVICES

This paper explores the application and importance of online library services in the context of modern information-seeking behaviour.Libraries have adapted to see the shifting needs of their patrons by developing web-based services that enable convenient and accessible access to resources.This study examines the key features of web-based library services and their potential impact on information access, user satisfaction, and library operations.The main highlights are the benefits and challenges of web-based library services, including increased accessibility, ease of use, and expanded reach, as well as issues surrounding quality control, copyright, and privacy.The study concludes that web-based library services represent an essential component of modern library services, offering a range of benefits to patrons and library staff.