Reviewerly/exHarmony huggingface dataset:
A Research on the Causes and Strategies of College English Listening Difficulties

With the increasing of China's international influence, China's comprehensive discourse power in the world has been strengthened. In the past, people's understanding of learning English mainly focus on the exam, and exam pays more attention to doing exercises, leading to a certain extent ignore the training of listening skills, which results in most students who go to college learning "dumb English". In order to explore the causes of students' listening difficulties, this paper intends to use the questionnaire for research. Through the research, it is not difficult to find that most students can hardly improve their listening comprehension due to the lack of vocabulary accumulation, the lack of basic knowledge of grammar and syntax, the interference of psychological pressure, and emotional factors. In view of the above problems, the author comes up with the following solutions through research, including guiding students to combine extensive listening and intensive listening to expand their vocabulary, integrating the basic knowledge of grammar and syntax. It is expected to promote the improvement of listening skills of college students and the continued development of Chinese English education.
The Effect of Internet Addiction on Sleep Quality of Children and Adolescents

Objectives: Internet addiction (IA) has been shown to be associated with sleep disorders.In our study, we aimed to investigate psychiatric comorbidities and sleep quality in children and adolescents with IA. Materials and Methods:Children with IA and healthy children who applied to the child psychiatry outpatient clinic were included in our study.Psychiatric comorbidities of children and adolescents were evaluated by applying the Schedule for Affective Disorders and Schizophrenia for School -Age Children -Present and Lifetime Version -Turkish Adaptation.Socio-demographic data form, Pittsburgh Sleep Quality Index (PSQI) and Young Internet Addiction Scale-Short Form (YIAS-SF) were given to the participants.Results: Forty six children with IA and 35 healthy children participated in our study.Of the 46 participants in the study group, 26 were diagnosed with attention deficit and hyperactivity disorder (ADHD), 13 with anxiety disorders, 9 with depression, and 11 with conduct disorder.In the study group, PSQI and YIAS-SF scores were found to be high.There was a significant difference between the groups in terms of scale scores. Conclusion:As a result of our study, it was found that the most common psychiatric diagnoses accompanying IA were ADHD, anxiety disorders and conduct disorders.It was determined that the academic achievement of children with IA was lower.Sleep quality was found to be poor in children with high IA level.It is important to provide training on conscious internet use for children and families in order to increase awareness about IA.
Integration of Blockchain Into Medical Data Security

There are a number of real-world instances of blockchain-based systems that are being used or suggested for medical data security, but their implementation is limited and fraught with difficulties. To assure the moral and legal use of patient data in blockchain-based medical data systems, legal and regulatory challenges must be addressed. The technological, legal, and adoption issues relating to blockchain-based medical data systems are currently being researched and developed. Furthermore, there are many benefits and problems associated with implementing blockchain-based medical data systems, including enhanced data security and privacy, interoperability and care coordination, efficiency and cost reduction, and support for medical research and innovation. This research explored the advantages, constraints, and legal and regulatory ramifications of blockchain technology's use in protecting medical data. This study discusses how medical data management could be substantially more secure, interoperable, and effective via blockchain technology.
Intelligent Healthcare Recommender Systems for Advanced Healthcare Informatics

Recommender systems (RS) are an important filtering tool for discovering services in a personalized way to guide users from the large space of possible options. Over the past decades, recommendation systems in healthcare application have become popular due to the exponential increase in health data available on various platforms. The chapter begins with an overview of recommender systems, discussing the purpose, functionality, and key components. It highlights the significance of recommender systems in healthcare, where the abundance of data and the complexity of medical decisions necessitate personalized recommendations to enhance the quality of care. Additionally, it introduces the concept of big data and its relevance in healthcare recommender systems, emphasizing the wealth of information available from various sources such as electronic health records, wearable devices, and social media. Moreover, the chapter addresses the challenges associated with the implementation of recommender systems in the healthcare domain.
Metrics for Project Management Methodologies Elicitation

This chapter presents an overview of the project management field, and a set of metrics useful to evaluate the goodness of different project management methodologies considering specific features of the enterprise, project, and goals. It is a multidisciplinary problem that covers the technical analysis of main methodologies, requirements, and management perspectives. It aims to translate semantical and subjective appreciations into a combination of well-determined equations giving an approximation through automatic processing, and a systematic appreciation. The confidence levels are introduced in the indicators associated with the metrics. The entire approach considers information taken from documents and tacit biases made explicit through a questionary specifically defined. As will be shown below, one of the benefits of using these metrics is the possibility of assessing the strong association between project success and documents' scope quality. Also, a number of parameters are relevant to select a management methodology and to improve risk determination.
Impact of Blockchain on the Security and Privacy of IoT-Empowered Healthcare Systems

Today, the internet of things (IoT) enables the network of all physical things or objects that are embedded in sensors to be efficiently operated and maintained. The sensed data can be used for the purposes of disease analysis and diagnosis. Furthermore, the sensed data can be exchanged with other devices in the network. However, several factors can limit the adoption and implementation of IoT. These factors include the cost of operations and maintenance, reliability and hardware, connectivity, ease of integration, quality control, and skills development. Firstly, this study focuses on the security challenges of IoT; hence, a blockchain is employed as a way of ensuring the security of devices in the network. Furthermore, the impact of blockchain on IoMT is studied. Afterwards, this study also highlights the current state of blockchain for healthcare systems; IoT in healthcare and use cases; ethical and regulatory considerations of IoT in healthcare. Finally, IoT and blockchain implications and recommendations for future research in healthcare are discussed.
Detecting Phishing URLs With Word Embedding and Deep Learning

The past decade has witnessed the rapid development of natural language processing and machine learning in the phishing detection domain. However, there needs to be more research on word embedding and deep learning for malicious URL classification. Inspired to solve this problem, this chapter aims to examine the application of word embedding and deep learning in extracting features from website URLs. To achieve this, several word embedding techniques, such as Keras, Word2Vec, GloVe, and FastText, were used to learn feature representations of webpage URLs. The obtained feature vectors were fed into a deep-learning model based on CNN-BiGRU for extraction and classification. Two different datasets were used to conduct numerous experiments, while various metrics were utilized to evaluate the phishing detection model's performance. The obtained findings indicated that when combined with deep learning, Keras outperformed other text embedding methods and achieved the best results across all evaluation metrics on both datasets.
Futuristic Adoption of Blockchain Technology in the Smart Agriculture and Food Industry

Agriculture is the backbone of human activity, and it is playing a vital role in human survival. Smart agriculture has a favorable impact on society as a result of technological advancements. The major goal is to increase production quality and quantity. Many industries, including healthcare, law, real estate, banking, and other applications are being transformed by using blockchain technology. On the other hand, agriculture is a known application that uses blockchain technology to totally transform the lives of human being in the world. With such a growing population it is obvious that the food demand will increase significantly. To fulfill the food demand of the world population, the agriculture industry is making use of Artificial Intelligence (AI), blockchain, and other food automation techniques and technologies to meet the demands through innovative production. This chapter presents an overview of various blockchain technology use cases, benefits and obstacles of food industry, and deployment of blockchain technology in agriculture.
Research on Computer Artificial Intelligence Technology in Remote Network Subject Teaching and Research System

According to the three-layer structure system of Intraweb technology, the teaching and research system of campus network was designed by comprehensive use of CSCW technology, database technology and Ajax technology. The whole structure of the system is based on the teaching and research work of the college. In terms of hardware, GeForce8 and CA-2A single-chip computers are used to design the system. The data of online education is collected on the software, and the content of online education is generally controlled. It can be seen from the simulation test that the whole functional structure of the system is based on the teaching and research work of the college. It provides convenience for users to communicate, and at the same time, it can give full play to the advantages of information technology in teaching and research activities. This enables advanced techniques of web application development to update traditional systems.
Integrating Blockchain Technology Into Healthcare Informatics

The fields of information systems and healthcare intertwined in healthcare informatics is concerned with the necessary equipment and tools to streamline information gathering, acquisition, and application in healthcare information. Healthcare informatics is concerned with patients, administrators, and healthcare professionals handling use of data. Block chain used to fund global health research, and health care policy activities to increase effectiveness and quality. Delivering patient data to doctors in a secure, and effective manner helps improve patient care. It involves combining the activities of healthcare professionals like doctors, nurses, and administrators with technologies including software, and databases. Healthcare informatics makes it possible to efficiently collect, store, retrieve, and use information to support research by allowing effective, secure transmission of medical data using block chain technology to revolutionize healthcare informatics.
How to Improve Middle School Students' Ability to Tell Chinese Stories Well in English in the New Era

As a widely used language in economic, political, technological, cultural, and other activities in the world today, English is an important communication tool for international communication and cooperation, as well as one of the carriers for disseminating the achievements of human civilization. It plays an important role in moving China towards the world and letting the world understand China. As economic globalization continues to strengthen, China's position on the world stage is increasingly prominent, and its voice is also heard by more and more people. It is increasingly important to tell China's story well in foreign languages. However, there are still a series of problems in English teaching in China, which contradict the requirements for improving middle school students' English language proficiency and comprehensive quality, and are not conducive to implementing the requirements of English teaching in the new era. This article briefly analyzes the current situation of English teaching for middle school students in China, and puts forward some personal suggestions on “how to improve the ability of middle school students to tell Chinese stories well in English”, with a view to providing new ideas for English teaching under the conditions of the new era, better improving the English expression ability of middle school students in China, cultivating their national feelings and international perspective, and better implementing the overall goal of “cultivating morality and cultivating people”.
Study on an English Speaking Practice System based on Automatic Speech Recognition Technology

This research paper presents a study on an English speaking practice system that utilizes automatic speech recognition (ASR) technology. The system aims to assess pronunciation accuracy and provide real-time feedback to learners, ultimately enhancing their spoken English skills. The system employs a web-based platform where users can record their speech, which is then uploaded to the server for recognition using a pre-trained ASR model. The recognized speech is compared with a reference text, allowing for the calculation of pronunciation accuracy and the generation of feedback highlighting correctly and incorrectly pronounced words. The system's effectiveness is validated through experimentation. The results demonstrate the system's high accuracy in speech recognition and the effectiveness of the feedback provided to learners. This study improves the effectiveness of language learning and can be extended to various educational environments and online language learning platforms.
Analyzing Big Data Using Recent Machine Learning Techniques to Assist Consumers in Online Purchase Decision

Sentiments can be expressed in a variety of ways like angry, happy, sad, surprised, etc. Recent machine learning (ML) algorithms classify sentiments and assist customers in their purchase decision. Many organizations are predicting the possible correlation between growth of the business and customer satisfaction. On different social media platforms, customers give ‘ratings' to a specific product or service. ML helps in knowing the reasons and assists the businesses to improvise in the weaker sections. Natural language processing integrates data and applies “tokenization” to extract the tokens (words) from the datasets (feedbacks). A set of positive, negative, and neutral words and sentences can be compared to find the relevance. Naïve Bayes classifier, KNN classifier, etc. help knowing the trend and processes the large volume of data in minimal time. This approach helps increasing the predictive power of the model and tests remaining data. Bayesian factor robustness helps analyzing different attribute specifications from the large volume.
Fusion of Blockchain With Internet of Things and Artificial Intelligence for Keener Healthcare Solutions

The healthcare industry continues to face significant challenges, including bed shortages, long wait times, rising costs, and the impact of pandemics. The use of a healthcare monitoring system powered by AI and IoT, which consists of high-tech devices connected to the internet, has potential benefits that will be felt in the medical field for years to come. These devices collect real-time data that can be used to detect early signs of illness, improve patient outcomes, and reduce healthcare costs. By combining this technology with the Blockchain method, patient health data can be securely stored and shared, providing decentralized protection, transparency, accountability, and authentication for data access. While this innovative technology has great potential for improving the healthcare industry, it also presents challenges such as the high cost of implementation and the risk of data overload for healthcare providers.
Research on the Mixed Teaching Mode based on the New Form Textbook of Linear Algebra

The new form of textbooks combines paper textbooks with new media resources, teaching with modern technology, and compensates for the content that paper textbooks cannot carry. The new form teaching materials of Linear algebra, including the integrated design of teaching content, strengthen the problem orientation, fully reflect the concepts of Flipped classroom, mixed teaching mode, inquiry learning, etc., improve the creativity, progressiveness and effectiveness of college mathematics teaching activities, and promote the benign development of college mathematics teaching.
Analysis on the Development of Cultural Teaching in International Chinese Language Education

Culture is the soul of a country and a nation. Strengthening cultural self-confidence is related to the independence of national spirit. Culture revitalizes the country and the nation is strong. This paper will be based on the development of the name of international Chinese education -- Teaching Chinese as a Foreign Language (1982), Teaching Chinese to Speakers of Other Languages (2007) to International Chinese Language education (2019). From the traditional teaching Chinese as a foreign language, Chinese culture education in the period of Teaching Chinese to Speakers of Other Languages, online Chinese culture teaching in International Chinese Language Education, the existing problems and solutions of the five parts of the narrative, to sort out the development stages of International Chinese Language Education and cultural teaching.
English Teachers' Self-development of Teaching Abilities

With the development of the society and the educational technology, teachers' self-development is becoming more and more important just like the life-long learning, so are the English teachers. However, there are some misconceptions in the self-development of teachers' teaching ability, which hinder their further development. Of course, these misconceptions have their own roots. In order to solve these problems, individual teachers should first have the consciousness of self-development, know more theories about the teaching ability, and make reflection on teaching timely, regularly, and systematically. Meanwhile they also need to strengthen the cooperation and communication with other teachers. In conclusion, self-development as well as the self-learning relies on perseverance and lifelong conduction.
Integrating Informationized Resources to Create a "Four-in-One" English Class in Vocational College

This article addresses the current underutilization of information technology resources and explores the innovative use of emerging educational methods in the class. Taking the example of vocational English courses, the article discusses the creation of a "four-in-one" class that integrates beauty, ingenuity, dynamism, and integration through the use of information technology, aiming to achieve diversity, communicativeness, and practicality in vocational English classes.
Research on the Coaches of High Level Sports Teams in Shanghai Colleges and Universities

Using questionnaire method, interview method and literature method, the paper studied and analyzed the current situation of coaches of high level sports teams in Shanghai colleges and universities. Through interviewing the leaders and coaches of high level sports teams in Shanghai colleges and universities, the paper understands the current situation and problems of coaches of high level sports teams in training, management and scientific research in Shanghai colleges and universities, and discuss the relevant problems deeply and make reasonable suggestions, aiming to provide reference for the sustainable development of coach team.
The Necessity and Feasibility of Blended Learning Mode in Foreign Language Teaching Practice

With the development of modern information technology, blended learning mode has become a new mode in foreign language teaching in universities, which can effectively solve some problems existing in traditional teaching modes. This article combines the necessity and feasibility study of blended learning mode in foreign language teaching practice, proposes the necessity and feasibility study of blended learning mode in foreign language teaching practice, provides some beneficial ideas for future foreign language teaching reform, and hopes to promote the improvement of foreign language teaching level in Chinese universities.
H4VDM: H.264 Video Device Matching

Methods that can determine if two given video sequences are captured by the same device (e.g., mobile telephone or digital camera) can be used in many forensics tasks. In this paper we refer to this as “video device matching”. In open-set video forensics scenarios it is easier to determine if two video sequences were captured with the same device than identifying the specific device. In this paper, we propose a technique for open-set video device matching. Given two H.264 compressed video sequences, our method can determine if they are captured by the same device, even if our method has never encountered the device in training. We denote our proposed technique as H.264 Video Device Matching (H4VDM). H4VDM uses H.264 compression information extracted from video sequences to make decisions. It is more robust against artifacts that alter camera sensor fingerprints, and it can be used to analyze relatively small fragments of the H.264 sequence. We trained and tested our method on a publicly available video forensics dataset consisting of 35 devices, where our proposed method demonstrated good performance.
Flying Wing Wildfire Tracking Using Visual Servoing and Gimbal Control

This paper describes a vision control algorithm for flying wing wildfire tracking. The aircraft, equipped with a camera attached to a gimbal, is dropped at a given altitude by a high-altitude balloon, and then performs a gliding descent while surveying the region of interest. The control methodology chosen was the image-based visual servoing (IBVS). An algorithm was developed to control the gliding descent trajectory, keeping the camera fixed. The results obtained for the simulations with the camera fixed validated the algorithm, although with a deviation between the position of the target in the image and its center. The stationary error was suppressed by controlling the camera rotation. The gimbal and camera were modeled, and respective Proportional-Integral controllers were designed. The algorithm was tested in a realistic simulation environment, demonstrating to effectively control the flying wing trajectory in order to guarantee wildfire monitoring.