Reviewerly/exHarmony huggingface dataset:
Pengaruh Penyuluhan Dampak Kebiasaan Buruk terhadap Susunan Gigi serta Kebersihan Gigi dan Mulut pada Komunitas Orang Tua TK Al Hidayah II, Kelapa Gading

Caries, periodontal disease, and malocclusion are the most common problems. The cause can be in the form of habits such as the technique and timing of brushing teeth that are not good and correct, the habit of sucking lips or fingers, biting nails, breathing through the mouth, and grinding teeth. These habits are still experienced by some students of TK Al-Hidayah 2 who are participants of this activity. As many as 21.62% of parents have less knowledge and 24.32% of parents have sufficient knowledge about dental and oral health and habits that can affect it. Extension activities are carried out by providing material and conducting questions and answers with parents of students and providing goodie bags. Posttest was also conducted to find out feedback from students on the material provided. The results of training counseling on maintaining oral health for parents and teachers at Alhidayah 2 Kindergarten, Kelapa Gading. conducted through the media webinars showed satisfactory results. There is an increase in the mean of 1 correct answer from pre-test to post-test which is statistically significant (t-count&gt;t-table).
Client-Side Adventures: React

In the previous two chapters, we talked about Node and its good friend NPM, two of the most popular tools for building server-side applications. Now, let’s look at the client side of the fence.
An Answer to Globalization: Enhancing Cultural Awareness

Globalization is a social and historical process oriented towards certain values. Confronting globalization, an important task of education is to enhance cultural awareness, including understanding the essence of tendencies towards homogenization and integration in contemporary discourses of power, strengthening the awareness of national culture and improving the ability to rethink the consumerist culture which is exerting a wide influence.
Design and Implementation of the Primitive Polynomial Search System in the Prime Number Field

The primitive polynomial is widely used in cryptography, coding theory, and the generation of random numbers. However, searching for the primitive polynomial is a complex process that requires a lot of calculation. Therefore, this paper designs and implements a primitive polynomial search system in the prime number field. The system uses an efficient deterministic algorithm to judge whether any polynomial is the primitive polynomial and stores the result in the database. The search speed of the primitive polynomial and the accuracy of the result can be guaranteed.
Importance of anaphora resolution in machine translation

In this era of continuously progressing Information Technology, information exchange is taking place in various domains at a faster pace. However, availability of huge information, diversity of knowledge sources and variations in structure of languages, leads to some hurdles in its effective utilization. Use of Machine Translation is a good enough solution at this stage, which can remove several constraints up-to some extent. Also, because of the easy and economic Internet accessibility, Machine Translation is becoming crucial. But several technical constraints are there in Machine Translation process that must be resolved for qualitative translation. Anaphora resolution is one of the major and complex problems of Machine Translation. Many researchers and research institute working in the field of language technology and translation are continuously striving to resolve the problem. Depending upon type of language there may be various classes of anaphor.Therefore, depending upon the type of source and target language, type of anaphor and anaphor resolution process also may differ. This paper is an attempt to go in detail and reviewing of currently available theoretical approaches and algorithms of anaphora resolution that are being used in various machine translation models.
PEDAGOGICAL DISCOURSE IN HIGHER PROFESSIONAL EDUCATION OF THE FUTURE

Scientific discourse in the pedagogical sphere implies coverage of the activity of all subjects of the educational space. Scientific exploration aims to coordinate the positions of education applicants, teachers, and representatives of the administrative cluster possible in the organization of a comprehensive pedagogical discourse. The task of the article is to develop effective theoretical-methodological and practically oriented guidelines, which will become a reference point for the construction of higher professional education of the future. The methodological arsenal for conducting this type of research served as general scientific, educational-pedagogical, and philosophical methods. The key issues shaping the agenda of pedagogical discourse on the prospects of education are the definition of short-term pedagogical innovations and long-term strategies for the development of higher professional education. A promising area of research is the correlation between the potential of the educational environment and the potential of socio-cultural space. Thus, pedagogical discourse is called to implement synergetic models of educational development. Despite the conservatism of education, the present and, even more so, the future of this sphere requires innovative transformations. Scientific-technological and humanitarian-informational progress allows updating education and forecasting its development based on further transformations. Higher vocational education is in dire need of constant updating of the pedagogical discourse because the abilities and skills acquired (acquired) by future professionals immediately turn into indicators of professionalism, which is a determining factor in the competitive environment of the modern world. Flexibility, mobility, multidisciplinarity, openness, accessibility, efficiency - are the attitudes that guide the construction of future education perspectives and meet the principles of dynamism in this sphere of social activity.
Phonon trapping states and blockade effect in a hybrid micromaser system

For a random atomic beam interacting with an optomechanical cavity, the synchronization of phonon and photon trapping states is proved. With the system connected to a squeezed phonon reservoir, the phonon blockade effect is realizable.
A Multi-Radius LBP Method to Characterize the Geometry of Heterogeneous Shale Model

The appropriate characterization of the geometrical structure for the heterogeneous shale sample is essential for digital rock classification. Local Binary Pattern (LBP) as a competitive method is widely used in characterizing geological models and measuring morphological similarity. Focusing on the local structures, the comparison between the central point and neighboring points plays an important role in LBP methods. However, one major limitation is to automatically define the radius of the neighborhood. In this work, we explore a multi-radius LBP method to improve characterization quality and simplify parameterization. The core idea is to calculate the importance of neighboring points according to the intrinsic characteristic of given images. A digitalized three-dimensional heterogeneous shale model is used to evaluate the proposed method. The experimental results verify that our method can effectively distinguish the different rock slices. In comparison with existing methods, the multi-radius LBP exhibits a better performance in terms of characterization accuracy.
Locating Buffer Overflow Vulnerabilities Based on Sensitive Functions

Buffer overflow vulnerability (BOV) is a kind of dangerous vulnerability among software vulnerabilities. BOV is widespread in software programs and pose a serious security threat. In this paper, we focus on the functions that trigger buffer vulnerabilities, and the complexity of the code itself, and construct a multi-polar vulnerability code graph that can characterize the vulnerable code. Then build a list of sensitive keywords, locate sensitive fields through the list, obtain keyword-related subgraphs, and analyze data control relationships to detect vulnerabilities. Through experiments, our method can detect BOV triggered by sensitive functions, showing the effectiveness of the proposed keyword-based vulnerability in locating sensitive field functions. And it’s also useful for deep learning in vulnerability detection.
Low-frequency directional characteristics of a gamelan gong

The structural modes of gamelan gongs often have clear impacts on their far-field directivity patterns with the number of directional lobes corresponding to the associated structural mode shapes. Many of the lowest modes produce dipole-like radiation with the dipole moment determined by the positions of the nodal and antinodal regions. Spherical harmonic and multipole expansions facilitate further understanding of the gongs' low-frequency directional characteristics. The expansions also yield practical simplifications to model their radiation.
Collaborative Convolutional Autoencoder for Scientific Article Recommendation

Data sparsity is one of the main problems in the Recommendation System (RS), especially in the Collaborative Filtering (CF). Matrix Factorization (MF) is one of the most popular CF methods used. However, when the rating data is sparse, the performance will decrease. In this study, a Collaborative Convolutional Autoencoder (CCA) is proposed, the content features of the paper are considered to assist MF in building a user-item matrix. Contextual information from the paper is represented using Sentence-BERT (SBERT) and Convolutional Neural Network (CNN). The proposed model is applied to real-world datasets. The results show that recall and Discounted Cumulative Gain (DCG) are higher overall in all experimental scenarios than baseline. The combination of SBERT and CNN was better at extracting contextual content from papers than baseline. As a result, the generated user-item matrix is more accurate and performance improves. Performance increases significantly when the data is used more sparse. This proves that the proposed model is more robust to data sparsity.
Hashing and Salting of Passwords

In this chapter we’re going to look at how you should go about securely storing passwords in your database. In most cases these will be passwords related to user logons for your application. In many ways a password is the most sensitive piece of information that we might store. If a user’s password is obtained by an attacker, then it is likely they can access all of the other information we hold about a user. Worse than that, despite recommendations to the contrary, most users reuse the same password across multiple services that they use. That means that if their password is breached in our application, then that may give an attacker access to accounts the user holds with other organizations.
PENGEMBANGAN MEDIA MOBILE LEARNING PADA PEMBELAJARAN TEMATIK DI SD NEGERI 02 NGABANG

The purposes of this research are developing and knowing the assessments ofmobile learning media in thematic learning. The research method used is a type ofdevelopment research with the ADDIE development model. The sources ofresearch data are material experts, media experts, from teachers and students ofgrade V SDN 02 Ngabang. The research datas are from the results of thequestionnaire validation sheet of material experts, media experts, teacher responsesheets and grade V students of SDN 02 Ngabang. The results showed that mobilelearning media in thematic learning using the ADDIE development model based onthe assessment of material experts is 84,09% which is in the 71%-85% range with a very feasible category, while the percentage of media experts is 72,73%. which in the 71%-85% range with a decent category, based on the assessment of the teachers' responses, the average of the first rater is 3.55 very effective category, the second rater is 3.6 very effective category, and the third rater is 2.85 effective category, the average students' responses is 3,025 with an effective category, then the mobile learning media is feasible and effective to be used as a medium for thematic learning.Keywords : ADDIE, Media, Mobile Learning.
AXCES: a strategy to show the scientific production of LACCEI

The scientific production of an institution or organization is what allows it to give visibility to its researchers and present the contribution to the state of the art generated. This production is shown in various products such as papers, presentations, etc. LACCEI (The Latin American and Caribbean Consortium of Engineering Institutions) is a non-profit organization that, since 2003, organizes (among other activities) a multi-conference every year in which scientific articles on Engineering, Education and Technology are presented under a double-blind peer review process. The objective of this paper is to describe how LACCEI has implemented an institutional repository called AXCES that establishes the bases to recognize and measure the scientific impact following the philosophy of Open Access under the quality principles of the FAIR Data of the European Union and OpenAIRE Guidelines. The article presents a conceptual framework, the implementation process of AXCES and then a series of recommendations that should be taken into account in any process of scientific dissemination and popularization. The key contributions that were achieved in this work refer to a proposal that systematically presents scientific production, outlines the guidelines to guarantee machine-machine interoperability of scientific production that generates automatic bibliometric indicators, and presents recommendations for the generation and publication of scientific production. scientific results.
SLIS Director's Report

Welcome to the Summer/Fall issue of SLIS Connecting.
Aircraft Detection in Airport Remote Sensing Images based on YOLOv5

With the development of remote sensing, aerospace, and other related technologies, remote sensing image application scenarios are more and more extensive. In this paper, the training of remote sensing data in different airports is improved based on the YOLOv5 (You Only Look Once) model. Based on the analysis of existing deep learning frameworks and models, a remote sensing image segmentation program is designed to solve the problems of large-scale, large variation, and multiple data channels of remote sensing images. To improve the performance of small object detection, the original image is segmented on the detector. When the size of the original image is large, it will be reduced in the detector input, and the number of pixel representatives of small targets will be seriously reduced, leading to the degradation of detector detection performance. So, we propose the purpose of image segmentation and separation detection is to reduce the loss of small target pixels during image reduction. It shows great advantages in solving the problem of precision and speed of aircraft identification, and it is feasible to identify aircraft with a computer quickly and efficiently.
IMPACT OF HUMAN RESOURCES TRAININGS AND KNOWLEDGE SHARING IN TRAVEL AGENCIES

The main purpose of this paper is to identify the impact of training and development on service sector. In the methodology of this paper we used the quantitative and qualitative method conducted with respondents in travel agencies. The questionnaire was structured with types of training and training needs for service sector employees, the research refers the level of trainings that are conducted in the travel agencies. Introduction of the information technology and different application programmes has increased the need of trainings of travel agency workers. The simple random technique is used to collect data from targeted travel agencies. The T test and correlation matrix is used to see the impact of training to employee’s performance. As a strategic activity, the training is related to the mission of the travel agency and its long-term objectives and is a major contributor to the development of skilled, flexible and dedicated employees while providing training in combination with other human resource management functions. In businesses that are in service sector that have experience in their field professional consultants - people who have the necessary skills and knowledge to implement the training, are responsible for staff training. However, in terms of transferring practical knowledge, managers are much more efficient. Their practical experience and skills, knowledge of their company, network of business contacts, and personal knowledge of the human resources of their organization make them qualified than the professional trainers, responsible for human resources.Training can be developed on the job and of the job depending on the organisation needs and employees skills, while communication skills are usually needed in travel agencies this is one together with use of software packages are the most important trainings that were identified in our research.
Pedagogical conditions for the formation of a competitive personality of a future specialist

The relevance of the presented topic is conditioned by the necessity of formation of harmonious and freely developed personality in training competitive specialists within the framework of professional education. A competitive specialist is not only a competent and highly professional worker, but first, a personality, who cares about his/her health, has high spiritual and moral qualities, skills of non-standard, flexible thinking, ready for continuous professional growth, capable of self-organization and self-improvement. The focus of a vocational institution is to create conditions for students to develop a healthy lifestyle and personal qualities that will ensure their competitiveness in the labor market, as well as to develop a spiritually moral, creative personality that can adapt in today's environment. Proper organization of the process of physical education among students can make a significant contribution to this direction. The study developed and experimentally proved the content of physical education process in secondary vocational education institution, aimed at improving the physical fitness of students. The positive influence of the content of the educational process on the indicators of physical fitness of students in higher education institution has been revealed. The aim of the research was the theoretical justification and experimental confirmation of the effectiveness of the content of physical education process in higher professional education institution for students, aimed at forming a competitive specialist's personality. The study reveals a positive impact of the content of the educational process on the formation of students' personality and physical preparedness indicators of university students. The paper presents the content of the process of physical education in the institution of higher vocational education of students. The practical significance of the study lies in the possibility of application of the developed content of the process of physical education in institutions of secondary vocational education of students, as well as the use of individual means and methods in other educational institutions.
Predicting Confidentiality, Integrity, and Availability from SQL Injection Payload

SQL Injection has been around as a harmful and prolific threat on web applications for more than 20 years, yet it still poses a huge threat to the World Wide Web. Rapidly evolving web technology has not eradicated this threat; In 2017 51 % of web application attacks are SQL injection attacks. Most conventional practices to prevent SQL injection attacks revolves around secure web and database programming and administration techniques. Despite developer ignorance, a large number of online applications remain susceptible to SQL injection attacks. There is a need for a more effective method to detect and prevent SQL Injection attacks. In this research, we offer a unique machine learning-based strategy for identifying potential SQL injection attack (SQL injection attack) threats. Application of the proposed method in a Security Information and Event Management(SIEM) system will be discussed. SIEM can aggregate and normalize event information from multiple sources, and detect malicious events from analysis of these information. The result of this work shows that a machine learning based SQL injection attack detector which uses SIEM approach possess high accuracy in detecting malicious SQL queries.
PROJECT ACTIVITY AS A TOOL OF ESTABLISHING ARCHITECTURAL LITERACY OF STUDENTS OF ALL DIRECTIONS

The first intake of students from T–University took place at the Don State Technical University, a project within the framework of the university transformation program, in 2021-2022 academic year. The Humanities and Arts module, among other disciplines, included an Introductory course of architecture. During 6 hours of classroom work in the format of project activity, students had to master the basics of architectural literacy: learn to read the simplest drawings, compare them with a three-dimensional model, analyze the influence of the environment and other factors onto an architectural project, operate with some fundamental terms and present their own ideas in the form sketches. Students completed the task in a short time and defended their work, and the information received was used in the work on the course project on the module. However, problems were identified, some difficulties in working with students that require attention and further elaboration. All students, regardless of the level of artistic training and the presence of creative talents, as well as experience working with drawings, in the course of project activities to some extent coped with the task and showed creative abilities, volumetric thinking and creativity.
Relief modelling using the Chiaroscuro technique: A project work among student-sculptors

Relief modelling is a very peculiar task that requires the creation of three-dimensional forms onto two dimensional surfaces to depict depth and volume in a composition. Preliminary research revealed that students in the Sculpture section in the Department of Painting and Sculpture in the Kwame Nkrumah University of Science and Technology faced the challenge of producing relief sculptural pieces to give them the three dimensionality that suggests volume and depth. This project work that utilized studio-based research approach rooted in the constructivism theory was aimed at experimenting on how to overcome the flaws in relief modelling using the chiaroscuro technique. Twelve (12) student-sculptors participated in this project using the stratified sampling technique. They were taken through practical sessions in modelling compositions of geometric forms, still-life, and human figures, with drawn or image references with the chiaroscuro technique as the focus. After the project, the student-sculptors were able to interpret the illusion of three-dimensionality in picture reference into the actuality of depth and volume during modelling, rendering compositions in its right planes or surfaces. The study recommends the application of the chiaroscuro technique in relief sculptural practices such as relief carving, repoussé, and other relief related sculptural practices.