Reviewerly/exHarmony huggingface dataset:
An Analysis of Research Trends on the Work First-then to College System in Specialized Vocational High School and Meister High School

This study seeks to explore research trends related to the Work First-then to College System for Specialized Vocational High School and Meister High School graduates through analysis of academic papers published in Korea. For this study, 57 papers related to Work First-then to College System learning at Specialized Vocational High School and Meister High School among papers published in domestic journals including research for subjects, methods, and variables were analyzed.&#x0D; As a result of the analysis, first, research in the field of the Work First-then to College System at Specialized Vocational High School and Meister High School has been steadily published since 2017. Second, it was found that the Work First-then to College System were being conducted in academic journals related to lifelong ability and vocational education. Third, the research subjects were mainly conducted on learners, and among them, the most studies were conducted on the Work First-then to College System students. Fourth, as a result of analyzing the research topic, the research related to the Work First-then to College System was found to be the most frequent. Fifth, looking at the results of the complementary analysis according to the research method, quantitative research was found to be far more frequent than qualitative research in Specialized Vocational High School and Meister High School. Sixth, as a result of analysis of related variables, social support, individual characteristics, and corporate characteristics were the most frequent. Finally, based on the results derived from this study, research directions related to the Work First-then to College System at Specialized Vocational High School and Meister High School were presented in the future.
An Improved KCF Algorithm and Its Application in Video Tracking

The massive use of video surveillance makes the processing of video information become increasingly important. tracking moving objects in video is an important part of video processing. Kernel Correlation Filter(KCF) algorithm is a widely used algorithm in the field of video processing, which has the characteristics of fast tracking speed and high efficiency. However, it is strict with the surrounding environment, and lighting changes, scale and shape changes, motion blur, etc. will affect the performance of the algorithm. In this paper, an improved KCF algorithm is proposed. The algorithm adds the reliability estimation and re detection mechanism to solve the problem of severe occlusion and rapid movement of the target. The scale pool method is introduced. Through simulation experiments and actual video testing, the improved KCF algorithm can track moving objects under poor external environment conditions and achieve satisfactory results.
Compressed Lightweight Network for Edge Intelligence AMC of CPM Signals

Automatic Modulation Classification (AMC) is the core technology of physical layer analysis for satellite communication signals. Our investigation found that deep learning methods are widely used in the AMC. However, deep learning requires a huge amount of computation. It brings difficulties to apply in edge devices that require high timeliness. Therefore, this paper proposes a low-complexity compressed lightweight network (CLNet) for the edge intelligence AMC problem of the MIL-STD-188-181C satellite communications protocol. In the feature extraction part, a parallel structure is designed to process channel information and spatial information respectively. In addition, this paper effectively reduces the model complexity through channel compression and stepwise convolution. Finally, the classification result is output by the full connection layer judgment. The paper results that the network parameters of CLNet are about 15.80% of the Residual Network (ResNet), but the classification accuracy is only lower than 1.14%. Compared with other methods, CLNet classification accuracy has significant improvement.
An Analysis Study on School Field Practicum Perceived by Secondary School Preservice Teachers

The purpose of this study is to explore the actual conditions of school field practicum recognized by secondary school preservice teachers and to suggest effective directions. Therefore, this study collected data from pre-service teachers enrolled in the Department of Education at University A located in the metropolitan area. In addition, this study explored the practice process, practice type, and practice support system in the practice school, and also explored the method of effective secondary school field practicum. Suggestions based on the results of this study are as follows. First, even in an emergency such as COVID-19, the period of secondary school field practicum should not be reduced, but should be maintained. Second, the practice school should establish a systematic practice plan that organically connects 'preparatory education-main practice-post evaluation'. Third, universities, which are secondary teacher education institutions, should reinforce their own pre-training. Considering that school field practicum in front-line practice schools is not systematic and takes place in a short period of time, it is necessary to prepare and operate a practice program on its own. In this study, implications for activating school field practicum in secondary teacher training institutions in a desirable direction were presented.
Multi-level Analysis on Factors Influencing Career maturity of High School Students

The purpose of this study is to identify student and school-level factors that affect the career maturity of general high school students in Seoul, and explore the effect of teachers' perceptions and attitudes, using data from SELS(9th year). For achieving the research purpose, multi-level analysis was applied. The findings indicate that among the student-level variables, participation in career activities, career activity satisfaction, and recognition of college admission information have a significant effect on career maturity. Among the school-level variables, all of the variables related to the operation of the career guidance program do not significantly affect career maturity, and it is confirmed that only the number of career information sources used by teachers has a negative effect on student career maturity. Also, it is found that the interaction between students' career activity satisfaction and teachers' perception of college admission guidance, students' recognition of college admission information, and teachers' recognition of CESSR has a significant effect on career maturity. Based on the results, this study suggests that it is necessary to develop a “consumer-centered” program with a practical effect to increase student satisfaction and use appropriate information to improve the systematic career education guidance method and develop an organic link between teachers and students' recognition of career guidance.
Cryptanalysis to Ming et al.'s Revocable Multi-Authority Attribute-Based Encryption

To achieve data sharing model in clouds under modern technology, several attribute-based encryption schemes have been proposed in many different ways. attribute-based encryption (ABE) is a one-to-many, fine-grained access control mechanism. Based on elliptic curve cryptography, we can reduce the computation overhead. However, most of these ABE schemes over elliptic curves are insecure or lacking of security proofs. In this manuscript, we review on the revocable multi-authority attribute-based encryption proposed by Ming et al.'s in 2021 and give the cryptanalysis on their scheme. More specifically, we demonstrate an attacking method to their scheme. Our attack allows any two users owning a same attribute colluding with each other, to generate private key of any chosen attribute set.
Design of a Smart Vest System to Protect and Rescue Fallen Elderly People

To detect the unexpected accidental fall and save the elderly in life-threatening scenarios, this research designs a fall alarm system based on MPU6050 and FIBOCOM ADP-L610-Arduino(L610) and controlled by STM32F407ZGT6. The MPU6050 sensor embedded in the abdomen of a wearable vest reports fall detection through offline audible and visual alarm with colored light, Liquid Crystal Display (LCD), and buzzer. The design automatically sends out calls and texts through FIBOCOM ADP-L610-Arduino, updating rescue information via smartphone app based on Alibaba Cloud Computing IOT platform. Elastic protection buffer is also provided by electromagnetic ejection upon falling. The test reveals the accuracy level of fall detection is over 98%, average response time of audible and visual alarm 20ms, smartphone app alarm arrives around 300ms, and calls and texts alarm respond within around 2. 2s. Overall the system achieve good results compared with the existing similar fall detection system.
ASONAM 2022 Tutorial I: Mining and Analysing Collaboration in git Repositories with git2net

The tutorial will provide an introduction to the git2net, an open-source Python package for mining and analyzing collaboration in git repositories. The tutorial will cover various aspects of using git2net to analyze collaboration within git repositories, including hands-on examples and interactive tutorials using Jupyter notebooks. Attendees will learn how to use git2net to extract co-editing networks, visualize collaboration patterns, and analyze the contributions of individual developers. The tutorial is platform-independent and can be used on all platforms. The tutorial materials, including Jupyter notebooks, can be accessed through the git repository (https://github.com/gotec/git2net-tutorials). Attendees can directly interact with the notebooks through Binder, Google Colab or view them in NBViewer by following the links provided in the abstract. The tutorial will cover topics such as cloning a repository for analysis, mining git repositories with git2net, author disambiguation with gambit, network analysis with pathpy, database-based analyses, and computing file complexity with git2net. Installation instructions for git2net as well as all other information regarding its development can be found in the original development repository (https://github.com/gotec/git2net). The tutorial is suitable for developers, data scientists and researchers who are interested in understanding collaboration patterns in software development.
Coding and Design

The actual code can be organized in many ways. You can imagine that most programs start off just like a blank sheet of paper and the development team decides what to put where. They can determine how they want to name, structure, organize, and group the code. Although there are many patterns, best practices, and recommendations, each program is customized quite differently. This customization usually involves organizing the code into higher-level concepts. One section of code will be responsible for the customer details, for example, another for the purchase order, and so forth.
Training, Going Live, and Maintenance

The next steps lead up to the go-live of the new system or the new features. How the launch is done, again depends on the methodology used. Continuous updates may be used for an Agile process, and this more gradual approach can soften the landing. On the other hand, the Waterfall methodology will typically involve a large big bang release.
More Metaphors

The collection of metaphors in this chapter moves out beyond the construction theme. These will help give you a wider picture of the various facets of software projects and applications.
Metaphors for Technical Terms

A passenger about to board a plane for an international flight usually needs a passport and a ticket. The passport identifies who you are, and the ticket confirms which plane you’re allowed to board. Two common terms in accessing a software application are authentication and authorization. The passport would represent authentication: Who are you? And the flight ticket would represent authorization: Which plane are you allowed to access?
To Sum Up

This book has taken you on a journey where first, with the help of metaphors and analogies, you viewed the core concepts of software projects. We followed that with a look at the more practical side of projects and dug a little deeper into the technical topics. Armed with this newly acquired knowledge on the various facets of building software solutions, you can now walk into your next project meeting with confidence.
Introduction to Strings

Earlier, we mentioned printing out a string literal such as "Hello World." to a standard output via
C++ Standard Library and Friends

The C++ language is accompanied by a library called the C++ Standard Library. It is a collection of containers and useful functions that we access and use in our program by including the proper header file. The containers and functions inside the C++ Standard Library are defined in the std namespace. Remember the std::string type mentioned earlier? It is also a part of the standard library. The standard library is implemented through class templates. In short, prefer using the standard library to user-provided libraries for everyday tasks.
Types

Every entity has a type. What is a type? A type is a property describing the set of possible values and operations on those values. Instances of types are called objects. An object is a region in memory that has a type, a value, and possibly a name. An instance of a simple type is not to be confused with an instance of a class which is also called an object.
Templates

Templates are mechanisms to support the so-called generic programming. Generic broadly means we can define a function or a class without worrying about what types it accepts.
DNA MICROARRAY FOR CANCER CLASSIFICATION USING DEEP LEARNING

The major cause of death has always been seen as cancer. The challenge is figuring it out as soon as possible. The possibility of preserving them decreases as the stage rises. Microarray gene-based expression profiling technology is one of the most useful methods for managing cancer diagnosis, prognosis, and treatment. The expression of genetic data generally gets tens of thousands of genes for each data point (example). Examining the level of expression of genes using DNA microarray . The area of genetic studies is currently experiencing a surge in interest in technology for a specific organism . Applications for microarray studies in the medical profession include illnessprediction and diagnosis, cancer research, and many more. Genetic selection is one of the best ways to deal with this problem. Deep learning is based on neural networks and is a subset of automated learning. The information has been pulled from the vast knowledge of the raw data, which is doing the discriminating and putting it into a framework that people can readily understand. Here, deep learning's primary task is to forecast illnesses. The hidden data sets and models in the medical domain must be extracted in order to obtain the medical data required for learning.
Influence of Popular Culture on Consumer Behaviour of Youth in Sri Lanka

In Sri Lanka recently, youth antisocial behavior has become a serious national and worldwide concern: Due to adolescent antisocial behavior over the previous 20 years, the rule of law and the law are challenged: Quantitative and qualitative data are collected. Snowball theory was used to collect qualitative data. In addition to this, the behavior of randomly selected individuals is studied through participant observation. Data was collected by conducting consensus interviews with individuals. According to police reports, ganging is a major issue. The previously mentioned organizational structure is well-known in urban areas, although it is less prevalent in rural areas. However, throughout the past two decades, the antisocial behavior of the youth has had a direct or indirect impact on Sri Lanka's popular culture. Additionally, juvenile gangs use a variety of tactics to trick and mislead victims of crime. Their actions are presented to the audience as vibrant and appealing visual images.
STUDY OF THE IMPACT OF CULTURAL AND LITERARY ACTIVITIES ON PERSONALITY IN ADOLESCENT STUDENTS

"What is dept in the syllabus, the world outside is unknown and the one who is unknown is interesting". It must have been the result of the thoughts of a great man with such high level of thoughts and vision that over a period of time the attention of academicians, dignitaries and general public was attracted towards the textual cultural and literary activities. He cannot develop his entire personality by reading the number of books in the boundary wall of the school. The great scientist Dr. Haumi Jahangir Bhabha used to do painting, while Einstein used to play the violin, history is adorned with many such examples. Individuals, teachers, socialists and educationists associated with different professions will be able to benefit in many ways by getting inspiration from the findings obtained from the present research work and getting information about the benefits of cultural and literary activities. Educational implications are found by this research work.The findings of this research work will give direction to the principal that they should explain the importance of cultural and literary activities to the children in his school and place in the school time table for cultural and literary activities in the school every day. Teacher will be able to take advantage of themselves by getting information about the benefits of cultural and literary activities and will be able to motivate the students towards cultural and literary activities. Parents will be able to motivate themselves and their children towards cultural and literary activities.
Formation of natural knowledge in junior high school students with intellectual disabilities

The article analyzes the peculiarities of the formation of natural ideas and concepts in junior high school students with intellectual disabilities. A study of the level of formation of natural knowledge in junior high school students, namely, the level of understanding of students with intellectual disabilities and the typical development of natural concepts and ideas. One third of children with intellectual disabilities had an average level of natural knowledge (children named and analyzed some features or parts of objects, and mistakes were corrected at different levels of help. Most students have a low level of natural knowledge (they allowed and did not correct gross We have developed stages of formation in students with intellectual disabilities of natural knowledge: motivational and textual preparation for the assimilation of natural ideas and concepts, the organization of sensory cognition of signs, properties of objects or phenomena, the formation ideas about them or the actualization of previously formed ideas, the organization of mental activity aimed at highlighting the essential features, providing generalization, verbalization of the essence of the object, marking it with the appropriate term, introduction of the concept in the system of natural concepts.
A tool for precisely modelling real-world quantum devices

Modelling quantum system is notoriously difficult, posing a challenge for studying quantum devices in real world settings, where interactions with surrounding particles inevitably influence the device. Our novel computational tool solves this challenge by automatically compressing this environmental influence, allowing approximation-free predictions.
Proposal for Simplified Risk Assessment to Prevent Occupational Accidents at Small Business Sites

Although measures to prevent occupational accidents based on the risk assessment for machinery (hereinafter referred to as RA) has been promoted, activities at small-scale business sites still remain insufficient. As one of the measures to support small business sites in implementing RA, we propose an easy method.
Semantic Social Searching-An Ontology Based Approach

Nowadays, people rely on search engines for retrieving information. However, by submitting a query to traditional web search engines they get bundle of information at just one place. On the other hand when people wants to get expert opinion, they first try to approach their friends, families, and colleagues rather than a search engine because of the high level of intimacy trust. The recent and rapid rise of online social networking sites has made it possible to do it on a large scale. By keeping this in view many social searching tools are developed to facilitate the user to get the information from multiple social networking sites such as Google Social search, Social mention etc. These tool search information using keyword-based matching criteria, which makes it harder for normal user to find his/her desired information from the huge amount of retrieved data. This research work is intended to provide a social searching framework so that users can get the desired result easily. The proposed framework will first analyze the query semantically and filter out the irrelevant results and then results are ordered according to the user as well as post ranks. For that a ranking function will be devised that will compute users and posts ranking. As a result, user experience of performing social search will be improved.
KEIROKA Assistance and Human Augmentation to Optimize Human Performance

This paper introduces two concepts, KEIROKA assistance and human augmentation, which aim to maximize and utilize human abilities, and describes the Smart Suit as a technology to realize these concepts. The expected functions of actuators used in the technologies for KEIROKA assistance and human augmentation are also described.
Study on numerical model of classical guitar

Classical guitar has an aging effect that can be expected to improve sound quality by playing. However, the mechanism of its effect has not been clarified. Therefore, we are conducting research to clarify the structure of classical guitars and the characteristics of their components, build numerical models based on them, and elucidate the mechanism of the aging effect by numerical analysis. Here, the material properties of the component wood of a guitar with orthogonal anisotropy properties were optimized by taking into account the effect of the restraint conditions during the test. The spring elements and damping characteristics were obtained to clarify the influence of support conditions.
Study on the sound quality of classical guitar with the new simple pattern of the struts

Guitars with a fan-shaped power tree arrangement are the mainstream in the world, and are used by the world as a model guitar. On the other hand, the classical guitar is capable of producing a variety of tones depending on the technique used, and is said to be a small orchestra. Therefore, in order to produce a wide range of tones, each scale must be played in a standard technique and have a good balance of tone and resonance. In pursuit of a better scale sound, guitars with a power tree arrangement that does not use a fan-shaped power tree have been produced. In this study, we focused mainly on the treble clef, where a well-balanced timbre is required, and conducted measurements mainly on the scale sound of the first string. As a result, the auditory evaluation and vibration characteristics of the guitar were clarified from an engineering viewpoint, and the effects of the force wood and other factors on the sound quality were clarified.